Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
1877
Single Precision Score
959
Half Precision Score
2743
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | RAMFlux |
| Upload Date | May 08 2025 05:02 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G |
| 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% |
1268
235.8 IPS |
|
|
Image Classification (HP)
|
100% |
381
70.9 IPS |
|
|
Image Classification (Q)
|
96% |
2865
535.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
944
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
533
8.64 IPS |
|
|
Image Segmentation (Q)
|
97% |
1291
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2606
3.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
2305
2.69 IPS |
|
|
Pose Estimation (Q)
|
86% |
6893
8.15 IPS |
|
|
Object Detection (SP)
|
100% |
1257
99.7 IPS |
|
|
Object Detection (HP)
|
100% |
474
37.6 IPS |
|
|
Object Detection (Q)
|
58% |
1881
205.5 IPS |
|
|
Face Detection (SP)
|
100% |
2800
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
1064
12.6 IPS |
|
|
Face Detection (Q)
|
96% |
5243
62.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3625
27.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1421
11.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
6754
53.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6959
8.95 IPS |
|
|
Style Transfer (HP)
|
100% |
5872
7.55 IPS |
|
|
Style Transfer (Q)
|
87% |
10558
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1293
47.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1144
42.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1920
71.1 IPS |
|
|
Text Classification (SP)
|
100% |
1002
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
550
733.8 IPS |
|
|
Text Classification (Q)
|
97% |
362
484.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1520
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
534
9.19 IPS |
|
|
Machine Translation (Q)
|
68% |
1940
37.5 IPS |
