Micro-Star International Co., Ltd. MS-7C94
Geekbench AI Score
2465
Single Precision Score
1236
Half Precision Score
3308
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | colonelmad |
| Upload Date | October 04 2024 09:22 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C94 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550M MORTAR (MS-7C94) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1533
285.2 IPS |
|
|
Image Classification (HP)
|
100% |
461
85.8 IPS |
|
|
Image Classification (Q)
|
96% |
2922
545.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1393
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
715
11.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
2371
38.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3932
4.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
3214
3.75 IPS |
|
|
Pose Estimation (Q)
|
87% |
8631
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
1480
117.4 IPS |
|
|
Object Detection (HP)
|
100% |
607
48.2 IPS |
|
|
Object Detection (Q)
|
86% |
1703
136.9 IPS |
|
|
Face Detection (SP)
|
100% |
2157
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
1391
16.5 IPS |
|
|
Face Detection (Q)
|
96% |
3235
38.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4969
38.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1813
14.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
5288
42.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10996
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8305
10.7 IPS |
|
|
Style Transfer (Q)
|
87% |
11153
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1877
69.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1625
60.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2753
102.0 IPS |
|
|
Text Classification (SP)
|
100% |
1661
2.22 KIPS |
|
|
Text Classification (HP)
|
100% |
686
915.3 IPS |
|
|
Text Classification (Q)
|
97% |
1359
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1816
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
556
9.58 IPS |
|
|
Machine Translation (Q)
|
60% |
2161
48.2 IPS |
