Grand Fury i75 System manufacturer System Product Name
Geekbench AI Score
434
Single Precision Score
269
Half Precision Score
564
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | Yegor99 |
| Upload Date | June 17 2025 05:08 PM |
| Views | 9 |
| 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 | ONNX |
| Backend | CPU |
| Device | Intel Core i7-860 |
| 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% |
285
53.1 IPS |
|
|
Image Classification (HP)
|
100% |
122
22.7 IPS |
|
|
Image Classification (Q)
|
96% |
448
83.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
237
3.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
173
2.80 IPS |
|
|
Image Segmentation (Q)
|
97% |
374
6.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
526
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
469
0.55 IPS |
|
|
Pose Estimation (Q)
|
86% |
822
0.97 IPS |
|
|
Object Detection (SP)
|
100% |
263
20.9 IPS |
|
|
Object Detection (HP)
|
100% |
141
11.2 IPS |
|
|
Object Detection (Q)
|
58% |
310
33.9 IPS |
|
|
Face Detection (SP)
|
100% |
758
9.00 IPS |
|
|
Face Detection (HP)
|
100% |
355
4.22 IPS |
|
|
Face Detection (Q)
|
96% |
995
11.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
695
5.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
398
3.07 IPS |
|
|
Depth Estimation (Q)
|
78% |
960
7.64 IPS |
|
|
Style Transfer (SP)
|
100% |
1286
1.65 IPS |
|
|
Style Transfer (HP)
|
100% |
1300
1.67 IPS |
|
|
Style Transfer (Q)
|
87% |
1784
2.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
285
10.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
268
9.90 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
421
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
300
400.0 IPS |
|
|
Text Classification (HP)
|
100% |
164
218.9 IPS |
|
|
Text Classification (Q)
|
97% |
194
259.2 IPS |
|
|
Machine Translation (SP)
|
100% |
444
7.65 IPS |
|
|
Machine Translation (HP)
|
100% |
181
3.12 IPS |
|
|
Machine Translation (Q)
|
68% |
553
10.7 IPS |
