OEM X79-Turbo
Geekbench AI Score
1545
Single Precision Score
603
Half Precision Score
1389
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | January 04 2025 04:50 PM |
| 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% |
1469
273.2 IPS |
|
|
Image Classification (HP)
|
100% |
223
41.5 IPS |
|
|
Image Classification (Q)
|
96% |
1209
225.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
618
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
392
6.36 IPS |
|
|
Image Segmentation (Q)
|
97% |
824
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1916
2.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1461
1.70 IPS |
|
|
Pose Estimation (Q)
|
86% |
2580
3.05 IPS |
|
|
Object Detection (SP)
|
100% |
1404
111.4 IPS |
|
|
Object Detection (HP)
|
100% |
284
22.6 IPS |
|
|
Object Detection (Q)
|
58% |
862
94.2 IPS |
|
|
Face Detection (SP)
|
100% |
3489
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
759
9.01 IPS |
|
|
Face Detection (Q)
|
96% |
2748
32.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2227
17.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
912
7.02 IPS |
|
|
Depth Estimation (Q)
|
78% |
2664
21.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5766
7.41 IPS |
|
|
Style Transfer (HP)
|
100% |
3757
4.83 IPS |
|
|
Style Transfer (Q)
|
87% |
5625
7.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1329
49.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
762
28.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1092
40.5 IPS |
|
|
Text Classification (SP)
|
100% |
553
738.4 IPS |
|
|
Text Classification (HP)
|
100% |
293
391.1 IPS |
|
|
Text Classification (Q)
|
97% |
261
350.1 IPS |
|
|
Machine Translation (SP)
|
100% |
970
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
305
5.25 IPS |
|
|
Machine Translation (Q)
|
68% |
1031
19.9 IPS |
