Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
2482
Single Precision Score
1159
Half Precision Score
3354
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Mathspixel |
| Upload Date | January 15 2025 12:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 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 | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1886
350.8 IPS |
|
|
Image Classification (HP)
|
100% |
433
80.5 IPS |
|
|
Image Classification (Q)
|
96% |
4078
761.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1232
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
633
10.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
1781
29.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3953
4.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
3382
3.95 IPS |
|
|
Pose Estimation (Q)
|
86% |
9195
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1847
146.5 IPS |
|
|
Object Detection (HP)
|
100% |
522
41.4 IPS |
|
|
Object Detection (Q)
|
58% |
2247
245.6 IPS |
|
|
Face Detection (SP)
|
100% |
3220
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
1202
14.3 IPS |
|
|
Face Detection (Q)
|
96% |
6360
75.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5210
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1636
12.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
8920
71.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9848
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8323
10.7 IPS |
|
|
Style Transfer (Q)
|
87% |
14143
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1729
63.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1515
55.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2315
85.8 IPS |
|
|
Text Classification (SP)
|
100% |
1196
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
631
842.5 IPS |
|
|
Text Classification (Q)
|
97% |
361
483.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1536
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
578
9.96 IPS |
|
|
Machine Translation (Q)
|
68% |
1792
34.6 IPS |
