Generic
Geekbench AI Score
3322
Single Precision Score
1266
Half Precision Score
3016
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Zerofckerx |
| Upload Date | November 22 2025 01:56 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-5960X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock X99 OC Formula |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i7-5960X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2909
541.0 IPS |
|
|
Image Classification (HP)
|
100% |
425
79.1 IPS |
|
|
Image Classification (Q)
|
96% |
2738
511.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1499
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
686
11.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
2669
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5489
6.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
4362
5.09 IPS |
|
|
Pose Estimation (Q)
|
86% |
6377
7.54 IPS |
|
|
Object Detection (SP)
|
100% |
2503
198.6 IPS |
|
|
Object Detection (HP)
|
100% |
565
44.8 IPS |
|
|
Object Detection (Q)
|
58% |
1740
190.1 IPS |
|
|
Face Detection (SP)
|
100% |
5162
61.3 IPS |
|
|
Face Detection (HP)
|
100% |
1214
14.4 IPS |
|
|
Face Detection (Q)
|
96% |
5364
64.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7487
57.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1784
13.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
6697
53.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12829
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9611
12.4 IPS |
|
|
Style Transfer (Q)
|
87% |
11154
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2256
83.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1865
68.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2737
101.4 IPS |
|
|
Text Classification (SP)
|
100% |
1417
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
639
852.4 IPS |
|
|
Text Classification (Q)
|
97% |
415
556.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1725
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
598
10.3 IPS |
|
|
Machine Translation (Q)
|
68% |
1689
32.6 IPS |
