Generic
Geekbench AI Score
2308
Single Precision Score
879
Half Precision Score
2820
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 13 2026 09:31 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2680 v3 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock X99 Extreme4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v3 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1843
342.7 IPS |
|
|
Image Classification (HP)
|
100% |
294
54.7 IPS |
|
|
Image Classification (Q)
|
96% |
2302
429.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
936
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
453
7.35 IPS |
|
|
Image Segmentation (Q)
|
97% |
3076
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4289
5.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
3390
3.96 IPS |
|
|
Pose Estimation (Q)
|
86% |
5954
7.04 IPS |
|
|
Object Detection (SP)
|
100% |
1654
131.2 IPS |
|
|
Object Detection (HP)
|
100% |
388
30.8 IPS |
|
|
Object Detection (Q)
|
58% |
1680
183.5 IPS |
|
|
Face Detection (SP)
|
100% |
4113
48.9 IPS |
|
|
Face Detection (HP)
|
100% |
843
10.0 IPS |
|
|
Face Detection (Q)
|
96% |
4432
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5022
38.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1161
8.94 IPS |
|
|
Depth Estimation (Q)
|
78% |
5538
44.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10045
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7632
9.81 IPS |
|
|
Style Transfer (Q)
|
87% |
9582
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1554
57.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1245
46.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2236
82.9 IPS |
|
|
Text Classification (SP)
|
100% |
914
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
407
542.9 IPS |
|
|
Text Classification (Q)
|
97% |
609
815.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1191
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
419
7.21 IPS |
|
|
Machine Translation (Q)
|
68% |
1404
27.1 IPS |
