OEM X79-Turbo
Geekbench AI Score
1315
Single Precision Score
623
Half Precision Score
1356
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | January 04 2025 05:29 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2690 v2 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | OEM X79-Turbo |
| Motherboard | OEM X79-Turbo |
| Power Plan | Driver Booster Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2690 v2 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1181
219.6 IPS |
|
|
Image Classification (HP)
|
100% |
235
43.8 IPS |
|
|
Image Classification (Q)
|
96% |
1198
223.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
664
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
377
6.11 IPS |
|
|
Image Segmentation (Q)
|
97% |
783
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2106
2.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
1535
1.79 IPS |
|
|
Pose Estimation (Q)
|
86% |
2466
2.92 IPS |
|
|
Object Detection (SP)
|
100% |
810
64.2 IPS |
|
|
Object Detection (HP)
|
100% |
285
22.6 IPS |
|
|
Object Detection (Q)
|
58% |
858
93.8 IPS |
|
|
Face Detection (SP)
|
100% |
2150
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
799
9.50 IPS |
|
|
Face Detection (Q)
|
96% |
2620
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2698
20.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
937
7.22 IPS |
|
|
Depth Estimation (Q)
|
78% |
2725
21.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4255
5.47 IPS |
|
|
Style Transfer (HP)
|
100% |
4771
6.13 IPS |
|
|
Style Transfer (Q)
|
87% |
5292
6.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
917
33.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
780
28.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1006
37.3 IPS |
|
|
Text Classification (SP)
|
100% |
579
772.6 IPS |
|
|
Text Classification (HP)
|
100% |
286
382.1 IPS |
|
|
Text Classification (Q)
|
97% |
279
373.5 IPS |
|
|
Machine Translation (SP)
|
100% |
887
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
286
4.92 IPS |
|
|
Machine Translation (Q)
|
68% |
1003
19.4 IPS |
