INTEL
Geekbench AI Score
2960
Single Precision Score
946
Half Precision Score
2850
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | sburnolo |
| Upload Date | February 26 2026 11:34 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% |
2592
482.0 IPS |
|
|
Image Classification (HP)
|
100% |
276
51.3 IPS |
|
|
Image Classification (Q)
|
96% |
2767
516.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1130
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
447
7.24 IPS |
|
|
Image Segmentation (Q)
|
97% |
2759
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6231
7.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
4384
5.12 IPS |
|
|
Pose Estimation (Q)
|
86% |
7558
8.94 IPS |
|
|
Object Detection (SP)
|
100% |
1938
153.7 IPS |
|
|
Object Detection (HP)
|
100% |
348
27.6 IPS |
|
|
Object Detection (Q)
|
58% |
1859
203.2 IPS |
|
|
Face Detection (SP)
|
100% |
4533
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
876
10.4 IPS |
|
|
Face Detection (Q)
|
96% |
4904
58.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7699
59.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1258
9.69 IPS |
|
|
Depth Estimation (Q)
|
78% |
6561
52.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14616
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9813
12.6 IPS |
|
|
Style Transfer (Q)
|
87% |
10194
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2044
75.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1488
54.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2485
92.1 IPS |
|
|
Text Classification (SP)
|
100% |
987
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
436
581.7 IPS |
|
|
Text Classification (Q)
|
97% |
274
367.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1419
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
436
7.50 IPS |
|
|
Machine Translation (Q)
|
68% |
1479
28.6 IPS |
