System manufacturer System Product Name
Geekbench AI Score
448
Single Precision Score
447
Half Precision Score
870
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | June 17 2025 09:53 PM |
| Views | 4 |
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% |
280
52.0 IPS |
|
|
Image Classification (HP)
|
100% |
283
52.7 IPS |
|
|
Image Classification (Q)
|
100% |
618
114.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
363
5.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
362
5.86 IPS |
|
|
Image Segmentation (Q)
|
99% |
697
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
512
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
465
0.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
1195
1.40 IPS |
|
|
Object Detection (SP)
|
100% |
254
20.2 IPS |
|
|
Object Detection (HP)
|
100% |
256
20.3 IPS |
|
|
Object Detection (Q)
|
87% |
587
47.1 IPS |
|
|
Face Detection (SP)
|
100% |
791
9.40 IPS |
|
|
Face Detection (HP)
|
100% |
822
9.77 IPS |
|
|
Face Detection (Q)
|
97% |
1647
19.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
666
5.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
665
5.12 IPS |
|
|
Depth Estimation (Q)
|
81% |
1453
11.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1106
1.42 IPS |
|
|
Style Transfer (HP)
|
100% |
1093
1.41 IPS |
|
|
Style Transfer (Q)
|
98% |
3691
4.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
297
11.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
299
11.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
754
27.9 IPS |
|
|
Text Classification (SP)
|
100% |
338
450.6 IPS |
|
|
Text Classification (HP)
|
100% |
346
461.5 IPS |
|
|
Text Classification (Q)
|
91% |
299
401.5 IPS |
|
|
Machine Translation (SP)
|
100% |
423
7.29 IPS |
|
|
Machine Translation (HP)
|
100% |
429
7.40 IPS |
|
|
Machine Translation (Q)
|
100% |
416
7.17 IPS |
