E5-1680 v2 4GHz noV+ Generic
Geekbench AI Score
1178
Single Precision Score
587
Half Precision Score
1255
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | krofa |
| Upload Date | January 26 2025 12:46 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-1680 v2 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock X79 Professional |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-1680 v2 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
827
153.8 IPS |
|
|
Image Classification (HP)
|
100% |
241
44.8 IPS |
|
|
Image Classification (Q)
|
96% |
1140
212.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
774
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
375
6.09 IPS |
|
|
Image Segmentation (Q)
|
97% |
802
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1629
1.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
1415
1.65 IPS |
|
|
Pose Estimation (Q)
|
86% |
2167
2.56 IPS |
|
|
Object Detection (SP)
|
100% |
732
58.0 IPS |
|
|
Object Detection (HP)
|
100% |
278
22.1 IPS |
|
|
Object Detection (Q)
|
58% |
756
82.6 IPS |
|
|
Face Detection (SP)
|
100% |
2181
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
740
8.79 IPS |
|
|
Face Detection (Q)
|
96% |
2238
26.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1936
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
879
6.77 IPS |
|
|
Depth Estimation (Q)
|
78% |
2387
19.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4234
5.44 IPS |
|
|
Style Transfer (HP)
|
100% |
3400
4.37 IPS |
|
|
Style Transfer (Q)
|
87% |
4539
5.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
741
27.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
692
25.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
971
36.0 IPS |
|
|
Text Classification (SP)
|
100% |
611
815.3 IPS |
|
|
Text Classification (HP)
|
100% |
308
411.2 IPS |
|
|
Text Classification (Q)
|
97% |
286
383.5 IPS |
|
|
Machine Translation (SP)
|
100% |
839
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
291
5.01 IPS |
|
|
Machine Translation (Q)
|
68% |
968
18.7 IPS |
