Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
5834
Single Precision Score
5840
Half Precision Score
7728
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | gundar |
| Upload Date | March 18 2025 01:57 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C91 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550 TOMAHAWK MAX WIFI (MS-7C91) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3603
670.1 IPS |
|
|
Image Classification (HP)
|
100% |
3866
719.0 IPS |
|
|
Image Classification (Q)
|
100% |
5798
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4830
78.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4503
73.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7160
116.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8104
9.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
8124
9.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
18107
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
3446
273.4 IPS |
|
|
Object Detection (HP)
|
100% |
3534
280.3 IPS |
|
|
Object Detection (Q)
|
87% |
6237
500.2 IPS |
|
|
Face Detection (SP)
|
100% |
10108
120.1 IPS |
|
|
Face Detection (HP)
|
100% |
10260
121.9 IPS |
|
|
Face Detection (Q)
|
97% |
20925
249.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11305
87.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11393
87.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
21066
166.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29463
37.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26710
34.3 IPS |
|
|
Style Transfer (Q)
|
98% |
53171
68.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4529
167.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4829
178.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10530
390.0 IPS |
|
|
Text Classification (SP)
|
100% |
2661
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
2702
3.61 KIPS |
|
|
Text Classification (Q)
|
91% |
293
393.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2318
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2270
39.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2243
38.6 IPS |
