MACHINIST X99 PR9-A
Geekbench AI Score
2089
Single Precision Score
794
Half Precision Score
2353
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 23 2024 08:53 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2680 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MACHINIST X99 PR9-A |
| Motherboard | MACHINIST X99 PR9-A |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v4 |
| Topology | 1 Processor, 14 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 14 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1434
266.6 IPS |
|
|
Image Classification (HP)
|
100% |
256
47.5 IPS |
|
|
Image Classification (Q)
|
96% |
2443
456.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
827
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
435
7.05 IPS |
|
|
Image Segmentation (Q)
|
97% |
1345
21.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6065
7.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
4366
5.09 IPS |
|
|
Pose Estimation (Q)
|
86% |
7323
8.66 IPS |
|
|
Object Detection (SP)
|
100% |
1596
126.6 IPS |
|
|
Object Detection (HP)
|
100% |
340
27.0 IPS |
|
|
Object Detection (Q)
|
58% |
1750
191.3 IPS |
|
|
Face Detection (SP)
|
100% |
2571
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
791
9.40 IPS |
|
|
Face Detection (Q)
|
96% |
4244
50.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4419
34.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1098
8.46 IPS |
|
|
Depth Estimation (Q)
|
78% |
5336
42.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12484
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
6726
8.65 IPS |
|
|
Style Transfer (Q)
|
87% |
6894
8.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1394
51.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
993
36.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1276
47.3 IPS |
|
|
Text Classification (SP)
|
100% |
753
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
335
447.2 IPS |
|
|
Text Classification (Q)
|
97% |
546
731.2 IPS |
|
|
Machine Translation (SP)
|
100% |
928
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
312
5.38 IPS |
|
|
Machine Translation (Q)
|
68% |
1136
21.9 IPS |
