Micro-Star International Co., Ltd. MS-7D13
Geekbench AI Score
3811
Single Precision Score
1675
Half Precision Score
4343
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 09 2024 03:31 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D13 |
| Motherboard | Micro-Star International Co., Ltd. MEG B550 UNIFY-X (MS-7D13) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1798
334.4 IPS |
|
|
Image Classification (HP)
|
100% |
554
103.0 IPS |
|
|
Image Classification (Q)
|
96% |
3934
734.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2198
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
854
13.8 IPS |
|
|
Image Segmentation (Q)
|
97% |
2884
46.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9796
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
7051
8.23 IPS |
|
|
Pose Estimation (Q)
|
87% |
22032
26.0 IPS |
|
|
Object Detection (SP)
|
100% |
2238
177.5 IPS |
|
|
Object Detection (HP)
|
100% |
681
54.0 IPS |
|
|
Object Detection (Q)
|
86% |
2051
164.9 IPS |
|
|
Face Detection (SP)
|
100% |
3802
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
1605
19.1 IPS |
|
|
Face Detection (Q)
|
96% |
5216
62.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9212
71.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2584
19.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
8778
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21793
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
19371
24.9 IPS |
|
|
Style Transfer (Q)
|
87% |
25070
32.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2466
91.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2167
80.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3698
137.0 IPS |
|
|
Text Classification (SP)
|
100% |
1695
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
641
856.0 IPS |
|
|
Text Classification (Q)
|
97% |
452
605.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2342
40.3 IPS |
|
|
Machine Translation (HP)
|
100% |
686
11.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2429
54.2 IPS |
