Micro-Star International Co., Ltd. MS-7B48
Geekbench AI Score
1008
Single Precision Score
1182
Half Precision Score
821
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | theofficialgman |
| Upload Date | December 13 2025 05:03 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| 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% |
459
85.4 IPS |
|
|
Image Classification (HP)
|
100% |
540
100.5 IPS |
|
|
Image Classification (Q)
|
100% |
438
81.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
619
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
734
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
537
8.72 IPS |
|
|
Pose Estimation (SP)
|
100% |
2417
2.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
3847
4.49 IPS |
|
|
Pose Estimation (Q)
|
97% |
2220
2.60 IPS |
|
|
Object Detection (SP)
|
100% |
521
41.4 IPS |
|
|
Object Detection (HP)
|
98% |
530
42.2 IPS |
|
|
Object Detection (Q)
|
86% |
480
38.6 IPS |
|
|
Face Detection (SP)
|
100% |
995
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
1167
13.9 IPS |
|
|
Face Detection (Q)
|
97% |
884
10.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1826
14.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2267
17.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
1580
12.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6230
8.01 IPS |
|
|
Style Transfer (HP)
|
100% |
9341
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
5415
6.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1239
45.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1746
64.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
962
35.6 IPS |
|
|
Text Classification (SP)
|
100% |
430
574.4 IPS |
|
|
Text Classification (HP)
|
100% |
300
400.1 IPS |
|
|
Text Classification (Q)
|
97% |
269
360.5 IPS |
|
|
Machine Translation (SP)
|
100% |
503
8.66 IPS |
|
|
Machine Translation (HP)
|
100% |
512
8.82 IPS |
|
|
Machine Translation (Q)
|
70% |
287
5.38 IPS |
