Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
2729
Single Precision Score
1264
Half Precision Score
4025
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | _nettan_ |
| Upload Date | February 08 2025 05:12 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd MS-7B86 |
| Motherboard | Micro-Star International Co., Ltd B450-A PRO MAX (MS-7B86) |
| Power Plan | Balanserat |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.08 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1953
363.2 IPS |
|
|
Image Classification (HP)
|
100% |
506
94.1 IPS |
|
|
Image Classification (Q)
|
96% |
3700
691.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1413
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
683
11.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
2120
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3828
4.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
3266
3.81 IPS |
|
|
Pose Estimation (Q)
|
86% |
7988
9.44 IPS |
|
|
Object Detection (SP)
|
100% |
2024
160.5 IPS |
|
|
Object Detection (HP)
|
100% |
606
48.0 IPS |
|
|
Object Detection (Q)
|
58% |
2558
279.5 IPS |
|
|
Face Detection (SP)
|
100% |
4568
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
1411
16.8 IPS |
|
|
Face Detection (Q)
|
96% |
6450
76.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5107
39.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1874
14.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
8243
65.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9671
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8003
10.3 IPS |
|
|
Style Transfer (Q)
|
87% |
13198
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1860
68.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1629
60.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2572
95.3 IPS |
|
|
Text Classification (SP)
|
100% |
1281
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
650
867.0 IPS |
|
|
Text Classification (Q)
|
97% |
1341
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2000
34.5 IPS |
|
|
Machine Translation (HP)
|
100% |
681
11.7 IPS |
|
|
Machine Translation (Q)
|
68% |
2877
55.6 IPS |
