Grand Fury i75 System manufacturer System Product Name
Geekbench AI Score
462
Single Precision Score
462
Half Precision Score
890
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | Yegor99 |
| Upload Date | June 17 2025 05:23 PM |
| Views | 13 |
| Notes | Original Windows 10 Pro 22H2 x64 CPU is not original: Identical model was used. RAM is not original: Modules with same speed and capacity were used. HDD is not original: Faulty original was replaced with similar. |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7 CPU 860 @ 2.80GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK Computer INC. P7H55-M LX |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-860 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 30 Stepping 5 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Type | DDR |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
283
52.7 IPS |
|
|
Image Classification (HP)
|
100% |
282
52.5 IPS |
|
|
Image Classification (Q)
|
100% |
615
114.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
362
5.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
363
5.89 IPS |
|
|
Image Segmentation (Q)
|
99% |
700
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
515
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
493
0.58 IPS |
|
|
Pose Estimation (Q)
|
94% |
1268
1.49 IPS |
|
|
Object Detection (SP)
|
100% |
268
21.2 IPS |
|
|
Object Detection (HP)
|
100% |
270
21.4 IPS |
|
|
Object Detection (Q)
|
87% |
604
48.4 IPS |
|
|
Face Detection (SP)
|
100% |
832
9.88 IPS |
|
|
Face Detection (HP)
|
100% |
838
9.95 IPS |
|
|
Face Detection (Q)
|
97% |
1693
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
687
5.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
695
5.35 IPS |
|
|
Depth Estimation (Q)
|
81% |
1510
11.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1156
1.49 IPS |
|
|
Style Transfer (HP)
|
100% |
1147
1.47 IPS |
|
|
Style Transfer (Q)
|
98% |
3844
4.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
309
11.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
316
11.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
780
28.9 IPS |
|
|
Text Classification (SP)
|
100% |
348
464.0 IPS |
|
|
Text Classification (HP)
|
100% |
351
468.4 IPS |
|
|
Text Classification (Q)
|
91% |
301
404.3 IPS |
|
|
Machine Translation (SP)
|
100% |
442
7.62 IPS |
|
|
Machine Translation (HP)
|
100% |
447
7.70 IPS |
|
|
Machine Translation (Q)
|
100% |
412
7.10 IPS |
