Micro-Star International Co., Ltd. MS-7B89
Geekbench AI Score
2725
Single Precision Score
1355
Half Precision Score
4562
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 03 2025 07:17 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT LTSC (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B89 |
| Motherboard | Micro-Star International Co., Ltd. B450M MORTAR (MS-7B89) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2068
384.6 IPS |
|
|
Image Classification (HP)
|
100% |
519
96.4 IPS |
|
|
Image Classification (Q)
|
96% |
3612
674.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1301
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
739
12.0 IPS |
|
|
Image Segmentation (Q)
|
97% |
4449
72.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3636
4.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
3142
3.67 IPS |
|
|
Pose Estimation (Q)
|
86% |
8453
9.99 IPS |
|
|
Object Detection (SP)
|
100% |
1841
146.0 IPS |
|
|
Object Detection (HP)
|
100% |
676
53.6 IPS |
|
|
Object Detection (Q)
|
58% |
2746
300.0 IPS |
|
|
Face Detection (SP)
|
100% |
4332
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
1437
17.1 IPS |
|
|
Face Detection (Q)
|
96% |
6865
81.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4887
37.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1852
14.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
8188
65.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9209
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
7834
10.1 IPS |
|
|
Style Transfer (Q)
|
87% |
12473
16.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1762
65.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1641
60.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3411
126.4 IPS |
|
|
Text Classification (SP)
|
100% |
1541
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
858
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1347
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2370
40.8 IPS |
|
|
Machine Translation (HP)
|
100% |
876
15.1 IPS |
|
|
Machine Translation (Q)
|
68% |
3254
62.9 IPS |
