Micro-Star International Co., Ltd. MS-7C96
Geekbench AI Score
1388
Single Precision Score
1352
Half Precision Score
2129
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | gMaX |
| Upload Date | January 25 2025 03:38 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5500 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C96 |
| Motherboard | Micro-Star International Co., Ltd. A520M-A PRO (MS-7C96) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
943
175.3 IPS |
|
|
Image Classification (HP)
|
100% |
949
176.5 IPS |
|
|
Image Classification (Q)
|
100% |
1096
203.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
888
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
720
11.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1181
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1528
1.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
1528
1.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
3278
3.85 IPS |
|
|
Object Detection (SP)
|
100% |
847
67.2 IPS |
|
|
Object Detection (HP)
|
100% |
747
59.2 IPS |
|
|
Object Detection (Q)
|
87% |
1088
87.3 IPS |
|
|
Face Detection (SP)
|
100% |
1846
21.9 IPS |
|
|
Face Detection (HP)
|
100% |
1867
22.2 IPS |
|
|
Face Detection (Q)
|
97% |
3821
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2212
17.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2205
17.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
4180
33.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4710
6.05 IPS |
|
|
Style Transfer (HP)
|
100% |
4484
5.76 IPS |
|
|
Style Transfer (Q)
|
98% |
9566
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1034
38.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
986
36.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2159
80.0 IPS |
|
|
Text Classification (SP)
|
100% |
952
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
1018
1.36 KIPS |
|
|
Text Classification (Q)
|
91% |
892
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1294
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1419
24.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1413
24.3 IPS |
