OEM X79-Turbo
Geekbench AI Score
1097
Single Precision Score
516
Half Precision Score
1212
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | January 04 2025 11:45 AM |
| Views | 2 |
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% |
714
132.7 IPS |
|
|
Image Classification (HP)
|
100% |
197
36.7 IPS |
|
|
Image Classification (Q)
|
96% |
1082
202.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
685
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
321
5.20 IPS |
|
|
Image Segmentation (Q)
|
97% |
721
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1491
1.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
1264
1.48 IPS |
|
|
Pose Estimation (Q)
|
86% |
2261
2.67 IPS |
|
|
Object Detection (SP)
|
100% |
772
61.2 IPS |
|
|
Object Detection (HP)
|
100% |
240
19.0 IPS |
|
|
Object Detection (Q)
|
58% |
753
82.3 IPS |
|
|
Face Detection (SP)
|
100% |
2077
24.7 IPS |
|
|
Face Detection (HP)
|
100% |
658
7.82 IPS |
|
|
Face Detection (Q)
|
96% |
2354
28.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2008
15.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
741
5.71 IPS |
|
|
Depth Estimation (Q)
|
78% |
2364
18.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3743
4.81 IPS |
|
|
Style Transfer (HP)
|
100% |
3401
4.37 IPS |
|
|
Style Transfer (Q)
|
87% |
4899
6.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
778
28.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
624
23.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
902
33.4 IPS |
|
|
Text Classification (SP)
|
100% |
508
677.9 IPS |
|
|
Text Classification (HP)
|
100% |
264
351.9 IPS |
|
|
Text Classification (Q)
|
97% |
239
320.0 IPS |
|
|
Machine Translation (SP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
256
4.41 IPS |
|
|
Machine Translation (Q)
|
68% |
880
17.0 IPS |
