Micro-Star International Co., Ltd. MS-7B87
Geekbench AI Score
1356
Single Precision Score
437
Half Precision Score
1196
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | November 17 2024 07:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 2600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B87 |
| Motherboard | Micro-Star International Co., Ltd. B450M GAMING PLUS (MS-7B87) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 2600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
784
145.8 IPS |
|
|
Image Classification (HP)
|
100% |
96
17.8 IPS |
|
|
Image Classification (Q)
|
97% |
906
169.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
527
8.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
128
2.07 IPS |
|
|
Image Segmentation (Q)
|
97% |
842
13.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2362
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
2016
2.35 IPS |
|
|
Pose Estimation (Q)
|
87% |
2260
2.67 IPS |
|
|
Object Detection (SP)
|
100% |
905
71.8 IPS |
|
|
Object Detection (HP)
|
100% |
129
10.3 IPS |
|
|
Object Detection (Q)
|
86% |
696
56.0 IPS |
|
|
Face Detection (SP)
|
100% |
1599
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
209
2.49 IPS |
|
|
Face Detection (Q)
|
96% |
1812
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2837
21.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
592
4.56 IPS |
|
|
Depth Estimation (Q)
|
76% |
2241
18.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6030
7.75 IPS |
|
|
Style Transfer (HP)
|
100% |
5177
6.66 IPS |
|
|
Style Transfer (Q)
|
87% |
5294
6.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1024
37.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
985
36.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
916
33.9 IPS |
|
|
Text Classification (SP)
|
100% |
741
988.5 IPS |
|
|
Text Classification (HP)
|
100% |
348
465.1 IPS |
|
|
Text Classification (Q)
|
97% |
280
375.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1150
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
368
6.34 IPS |
|
|
Machine Translation (Q)
|
60% |
911
20.3 IPS |
