Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
3897
Single Precision Score
3911
Half Precision Score
6006
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Mathspixel |
| Upload Date | January 15 2025 12:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700G with Radeon Graphics |
| 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% |
2689
500.0 IPS |
|
|
Image Classification (HP)
|
100% |
2616
486.5 IPS |
|
|
Image Classification (Q)
|
100% |
4196
780.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2754
44.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2764
44.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4537
73.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5462
6.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
5492
6.41 IPS |
|
|
Pose Estimation (Q)
|
94% |
10289
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
2003
158.9 IPS |
|
|
Object Detection (HP)
|
100% |
2051
162.7 IPS |
|
|
Object Detection (Q)
|
87% |
3901
312.8 IPS |
|
|
Face Detection (SP)
|
100% |
4327
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
4273
50.8 IPS |
|
|
Face Detection (Q)
|
97% |
10532
125.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5987
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6084
46.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
9973
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14564
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14846
19.1 IPS |
|
|
Style Transfer (Q)
|
98% |
33292
42.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3029
111.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2948
108.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6306
233.6 IPS |
|
|
Text Classification (SP)
|
100% |
2770
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
2742
3.66 KIPS |
|
|
Text Classification (Q)
|
91% |
1121
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3156
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3296
56.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3236
55.7 IPS |
