Default string Default string
Geekbench AI Score
2953
Single Precision Score
901
Half Precision Score
2692
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | superlid |
| Upload Date | March 15 2025 08:02 AM |
| Views | 5 |
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 | Default string Default string |
| Motherboard | HUANANZHI X99 F8D |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v3 |
| Topology | 2 Processors, 24 Cores, 48 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2116
393.4 IPS |
|
|
Image Classification (HP)
|
100% |
271
50.5 IPS |
|
|
Image Classification (Q)
|
96% |
2709
505.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
936
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
458
7.43 IPS |
|
|
Image Segmentation (Q)
|
97% |
1411
23.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8939
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
4157
4.85 IPS |
|
|
Pose Estimation (Q)
|
86% |
11319
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
2261
179.4 IPS |
|
|
Object Detection (HP)
|
100% |
365
28.9 IPS |
|
|
Object Detection (Q)
|
58% |
2027
221.5 IPS |
|
|
Face Detection (SP)
|
100% |
5823
69.2 IPS |
|
|
Face Detection (HP)
|
100% |
872
10.4 IPS |
|
|
Face Detection (Q)
|
96% |
5125
61.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7713
59.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1245
9.59 IPS |
|
|
Depth Estimation (Q)
|
78% |
7743
61.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17132
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11533
14.8 IPS |
|
|
Style Transfer (Q)
|
87% |
10265
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1995
73.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1258
46.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1787
66.2 IPS |
|
|
Text Classification (SP)
|
100% |
770
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
346
461.7 IPS |
|
|
Text Classification (Q)
|
97% |
249
334.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1067
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
347
5.98 IPS |
|
|
Machine Translation (Q)
|
68% |
1260
24.3 IPS |
