System manufacturer System Product Name
Geekbench AI Score
450
Single Precision Score
449
Half Precision Score
881
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | June 18 2025 03:01 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 | 16.00 GB |
| Type | DDR |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
284
52.9 IPS |
|
|
Image Classification (HP)
|
100% |
283
52.7 IPS |
|
|
Image Classification (Q)
|
100% |
619
115.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
365
5.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
367
5.95 IPS |
|
|
Image Segmentation (Q)
|
99% |
708
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
488
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
465
0.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
1206
1.41 IPS |
|
|
Object Detection (SP)
|
100% |
254
20.2 IPS |
|
|
Object Detection (HP)
|
100% |
260
20.6 IPS |
|
|
Object Detection (Q)
|
87% |
598
48.0 IPS |
|
|
Face Detection (SP)
|
100% |
841
9.99 IPS |
|
|
Face Detection (HP)
|
100% |
846
10.0 IPS |
|
|
Face Detection (Q)
|
97% |
1679
20.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
641
4.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
640
4.93 IPS |
|
|
Depth Estimation (Q)
|
81% |
1479
11.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1134
1.46 IPS |
|
|
Style Transfer (HP)
|
100% |
1093
1.41 IPS |
|
|
Style Transfer (Q)
|
98% |
3747
4.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
300
11.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
303
11.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
764
28.3 IPS |
|
|
Text Classification (SP)
|
100% |
339
452.2 IPS |
|
|
Text Classification (HP)
|
100% |
344
459.4 IPS |
|
|
Text Classification (Q)
|
91% |
297
399.1 IPS |
|
|
Machine Translation (SP)
|
100% |
434
7.47 IPS |
|
|
Machine Translation (HP)
|
100% |
430
7.40 IPS |
|
|
Machine Translation (Q)
|
100% |
426
7.33 IPS |
