Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
3579
Single Precision Score
1581
Half Precision Score
4274
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 11:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. MPG B550 GAMING PLUS (MS-7C56) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2844
529.0 IPS |
|
|
Image Classification (HP)
|
100% |
624
116.0 IPS |
|
|
Image Classification (Q)
|
96% |
5231
976.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1927
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
848
13.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
2100
34.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5318
6.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
4600
5.37 IPS |
|
|
Pose Estimation (Q)
|
86% |
11961
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
2460
195.1 IPS |
|
|
Object Detection (HP)
|
100% |
769
61.0 IPS |
|
|
Object Detection (Q)
|
58% |
2840
310.3 IPS |
|
|
Face Detection (SP)
|
100% |
5135
61.0 IPS |
|
|
Face Detection (HP)
|
100% |
1707
20.3 IPS |
|
|
Face Detection (Q)
|
96% |
8008
95.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7432
57.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2207
17.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
11126
88.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13318
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11030
14.2 IPS |
|
|
Style Transfer (Q)
|
87% |
15956
20.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2397
88.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2083
76.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3171
117.5 IPS |
|
|
Text Classification (SP)
|
100% |
1669
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
787
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
438
587.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2370
40.8 IPS |
|
|
Machine Translation (HP)
|
100% |
770
13.3 IPS |
|
|
Machine Translation (Q)
|
68% |
2763
53.4 IPS |
