Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
7308
Single Precision Score
7722
Half Precision Score
5160
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | RAMFlux |
| Upload Date | May 09 2025 03:39 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX 580 Series |
| 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% |
2857
531.2 IPS |
|
|
Image Classification (HP)
|
100% |
3358
624.4 IPS |
|
|
Image Classification (Q)
|
100% |
2276
423.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3638
59.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3867
62.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3019
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
51897
60.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
55506
64.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
41180
48.2 IPS |
|
|
Object Detection (SP)
|
100% |
3098
245.7 IPS |
|
|
Object Detection (HP)
|
100% |
3049
241.8 IPS |
|
|
Object Detection (Q)
|
88% |
2481
198.9 IPS |
|
|
Face Detection (SP)
|
100% |
8844
105.1 IPS |
|
|
Face Detection (HP)
|
100% |
11346
134.8 IPS |
|
|
Face Detection (Q)
|
97% |
6914
82.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16951
130.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
18189
140.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
12017
96.3 IPS |
|
|
Style Transfer (SP)
|
100% |
78567
101.0 IPS |
|
|
Style Transfer (HP)
|
100% |
83527
107.4 IPS |
|
|
Style Transfer (Q)
|
98% |
59588
76.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11287
416.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12021
443.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6903
255.6 IPS |
|
|
Text Classification (SP)
|
100% |
1053
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
890
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
663
888.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1859
32.0 IPS |
|
|
Machine Translation (HP)
|
96% |
1861
32.2 IPS |
|
|
Machine Translation (Q)
|
70% |
842
15.8 IPS |
