Micro-Star International Co., Ltd. MS-7B89
Geekbench AI Score
2055
Single Precision Score
1031
Half Precision Score
2861
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | stillfyou |
| Upload Date | February 12 2025 11:09 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B89 |
| Motherboard | Micro-Star International Co., Ltd. B450M MORTAR MAX (MS-7B89) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1553
288.8 IPS |
|
|
Image Classification (HP)
|
100% |
423
78.7 IPS |
|
|
Image Classification (Q)
|
96% |
3415
637.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
931
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
591
9.58 IPS |
|
|
Image Segmentation (Q)
|
97% |
1510
24.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3154
3.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
2655
3.10 IPS |
|
|
Pose Estimation (Q)
|
86% |
7757
9.17 IPS |
|
|
Object Detection (SP)
|
100% |
1599
126.8 IPS |
|
|
Object Detection (HP)
|
100% |
501
39.7 IPS |
|
|
Object Detection (Q)
|
58% |
1846
201.7 IPS |
|
|
Face Detection (SP)
|
100% |
2551
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
1040
12.4 IPS |
|
|
Face Detection (Q)
|
96% |
5479
65.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4085
31.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1545
11.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
7164
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7846
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6392
8.22 IPS |
|
|
Style Transfer (Q)
|
87% |
10943
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1419
52.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1238
45.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2033
75.3 IPS |
|
|
Text Classification (SP)
|
100% |
1193
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
621
829.2 IPS |
|
|
Text Classification (Q)
|
97% |
345
462.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1337
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
521
8.98 IPS |
|
|
Machine Translation (Q)
|
68% |
1652
31.9 IPS |
