Micro-Star International Co., Ltd. MS-7B48
Geekbench AI Score
7218
Single Precision Score
7695
Half Precision Score
5152
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | theofficialgman |
| Upload Date | December 13 2025 05:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX 570 Series |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B48 |
| Motherboard | Micro-Star International Co., Ltd. Z370-A PRO (MS-7B48) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8600K |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2994
556.9 IPS |
|
|
Image Classification (HP)
|
100% |
3342
621.5 IPS |
|
|
Image Classification (Q)
|
100% |
2404
447.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3473
56.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3793
61.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2901
47.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
42274
49.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
44043
51.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
34508
40.4 IPS |
|
|
Object Detection (SP)
|
100% |
3221
255.5 IPS |
|
|
Object Detection (HP)
|
100% |
3363
266.7 IPS |
|
|
Object Detection (Q)
|
88% |
2731
219.0 IPS |
|
|
Face Detection (SP)
|
100% |
9029
107.3 IPS |
|
|
Face Detection (HP)
|
100% |
11399
135.4 IPS |
|
|
Face Detection (Q)
|
97% |
6665
79.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17562
135.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
19616
151.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
12740
102.1 IPS |
|
|
Style Transfer (SP)
|
100% |
71512
91.9 IPS |
|
|
Style Transfer (HP)
|
100% |
79369
102.0 IPS |
|
|
Style Transfer (Q)
|
98% |
55548
71.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10059
371.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10860
401.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6501
240.7 IPS |
|
|
Text Classification (SP)
|
100% |
1225
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
981
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
740
991.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1941
33.4 IPS |
|
|
Machine Translation (HP)
|
96% |
2053
35.5 IPS |
|
|
Machine Translation (Q)
|
70% |
885
16.6 IPS |
