Micro-Star International Co., Ltd. MS-7C96
Geekbench AI Score
3267
Single Precision Score
3242
Half Precision Score
5430
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 09 2025 10:50 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C96 |
| Motherboard | Micro-Star International Co., Ltd. A520M-A PRO (MS-7C96) |
| Power Plan | Nihai Performans |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2088
388.3 IPS |
|
|
Image Classification (HP)
|
100% |
2077
386.3 IPS |
|
|
Image Classification (Q)
|
100% |
3373
627.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2235
36.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3987
64.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4086
4.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
4101
4.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
9522
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1986
157.6 IPS |
|
|
Object Detection (HP)
|
100% |
1978
156.9 IPS |
|
|
Object Detection (Q)
|
87% |
3719
298.3 IPS |
|
|
Face Detection (SP)
|
100% |
3864
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
3813
45.3 IPS |
|
|
Face Detection (Q)
|
97% |
10336
123.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5436
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
5309
40.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
9491
74.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12290
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12114
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
27076
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2479
91.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2477
91.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5293
196.1 IPS |
|
|
Text Classification (SP)
|
100% |
1825
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1791
2.39 KIPS |
|
|
Text Classification (Q)
|
91% |
1059
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3251
56.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3132
54.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3147
54.2 IPS |
