Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
2734
Single Precision Score
3864
Half Precision Score
1994
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | RAMFlux |
| Upload Date | May 09 2025 03:46 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C95 |
| Motherboard | Micro-Star International Co., Ltd. B550M PRO-VDH WIFI (MS-7C95) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1035
192.4 IPS |
|
|
Image Classification (HP)
|
100% |
1461
271.6 IPS |
|
|
Image Classification (Q)
|
100% |
929
172.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1186
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1519
24.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
988
16.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11034
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20018
23.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
8687
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
1105
87.6 IPS |
|
|
Object Detection (HP)
|
100% |
1493
118.4 IPS |
|
|
Object Detection (Q)
|
88% |
991
79.4 IPS |
|
|
Face Detection (SP)
|
100% |
2433
28.9 IPS |
|
|
Face Detection (HP)
|
100% |
3736
44.4 IPS |
|
|
Face Detection (Q)
|
97% |
1996
23.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5899
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8848
68.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
4476
35.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18871
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31542
40.5 IPS |
|
|
Style Transfer (Q)
|
98% |
14192
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3756
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5936
219.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2452
90.8 IPS |
|
|
Text Classification (SP)
|
100% |
985
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
1081
1.44 KIPS |
|
|
Text Classification (Q)
|
97% |
635
851.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1557
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1674
28.8 IPS |
|
|
Machine Translation (Q)
|
70% |
640
12.0 IPS |
