Micro-Star International Co., Ltd. MS-7E51
Geekbench AI Score
6064
Single Precision Score
2656
Half Precision Score
8515
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | jtracy667 |
| Upload Date | October 16 2024 08:33 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E51 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870 TOMAHAWK WIFI (MS-7E51) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2633
489.6 IPS |
|
|
Image Classification (HP)
|
100% |
762
141.7 IPS |
|
|
Image Classification (Q)
|
99% |
6489
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2756
44.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1229
19.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4688
76.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
29082
33.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
17391
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
82098
96.2 IPS |
|
|
Object Detection (SP)
|
100% |
3305
262.1 IPS |
|
|
Object Detection (HP)
|
100% |
971
77.0 IPS |
|
|
Object Detection (Q)
|
88% |
3366
269.8 IPS |
|
|
Face Detection (SP)
|
100% |
4387
52.1 IPS |
|
|
Face Detection (HP)
|
100% |
2045
24.3 IPS |
|
|
Face Detection (Q)
|
97% |
6972
83.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12697
97.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3861
29.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
13734
109.9 IPS |
|
|
Style Transfer (SP)
|
100% |
44375
57.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37655
48.4 IPS |
|
|
Style Transfer (Q)
|
98% |
47963
61.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4491
165.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4014
148.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6422
237.8 IPS |
|
|
Text Classification (SP)
|
100% |
2330
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
985
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1697
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3732
64.3 IPS |
|
|
Machine Translation (HP)
|
100% |
943
16.2 IPS |
|
|
Machine Translation (Q)
|
60% |
4764
106.3 IPS |
