INTEL
Geekbench AI Score
3067
Single Precision Score
1023
Half Precision Score
2941
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | sburnolo |
| Upload Date | February 26 2026 11:40 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2680 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | INTEL |
| Motherboard | INTEL X99-P4 |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v4 |
| Topology | 1 Processor, 14 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 14 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2570
478.0 IPS |
|
|
Image Classification (HP)
|
100% |
293
54.6 IPS |
|
|
Image Classification (Q)
|
96% |
2882
538.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1110
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
505
8.18 IPS |
|
|
Image Segmentation (Q)
|
97% |
2960
48.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7076
8.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
5030
5.87 IPS |
|
|
Pose Estimation (Q)
|
86% |
7588
8.97 IPS |
|
|
Object Detection (SP)
|
100% |
2682
212.7 IPS |
|
|
Object Detection (HP)
|
100% |
349
27.7 IPS |
|
|
Object Detection (Q)
|
58% |
1960
214.2 IPS |
|
|
Face Detection (SP)
|
100% |
5104
60.6 IPS |
|
|
Face Detection (HP)
|
100% |
919
10.9 IPS |
|
|
Face Detection (Q)
|
96% |
5048
60.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5899
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1344
10.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
6866
54.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14782
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11882
15.3 IPS |
|
|
Style Transfer (Q)
|
87% |
10488
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2147
79.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1674
61.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2507
92.9 IPS |
|
|
Text Classification (SP)
|
100% |
986
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
448
598.5 IPS |
|
|
Text Classification (Q)
|
97% |
277
371.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1448
24.9 IPS |
|
|
Machine Translation (HP)
|
100% |
441
7.60 IPS |
|
|
Machine Translation (Q)
|
68% |
1516
29.3 IPS |
