Generic
Geekbench AI Score
2963
Single Precision Score
1110
Half Precision Score
2624
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Zerofckerx |
| Upload Date | November 21 2025 10:22 PM |
| Views | 7 |
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 | 2.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2324
432.3 IPS |
|
|
Image Classification (HP)
|
100% |
375
69.7 IPS |
|
|
Image Classification (Q)
|
96% |
2398
447.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1352
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
605
9.81 IPS |
|
|
Image Segmentation (Q)
|
97% |
2312
37.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5191
6.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
3652
4.26 IPS |
|
|
Pose Estimation (Q)
|
86% |
5574
6.59 IPS |
|
|
Object Detection (SP)
|
100% |
2334
185.2 IPS |
|
|
Object Detection (HP)
|
100% |
494
39.2 IPS |
|
|
Object Detection (Q)
|
58% |
1447
158.1 IPS |
|
|
Face Detection (SP)
|
100% |
4800
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
1115
13.3 IPS |
|
|
Face Detection (Q)
|
96% |
4722
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6580
50.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1507
11.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
5816
46.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11798
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9195
11.8 IPS |
|
|
Style Transfer (Q)
|
87% |
9847
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1911
70.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1535
56.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2348
87.0 IPS |
|
|
Text Classification (SP)
|
100% |
1218
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
562
750.5 IPS |
|
|
Text Classification (Q)
|
97% |
362
484.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1581
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
524
9.03 IPS |
|
|
Machine Translation (Q)
|
68% |
1506
29.1 IPS |
