Micro-Star International Co., Ltd. MS-7B48
Geekbench AI Score
1755
Single Precision Score
2635
Half Precision Score
2509
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | theofficialgman |
| Upload Date | December 13 2025 05:09 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| 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% |
1117
207.7 IPS |
|
|
Image Classification (HP)
|
100% |
1741
323.8 IPS |
|
|
Image Classification (Q)
|
100% |
1583
294.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1459
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2315
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2152
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2737
3.19 IPS |
|
|
Pose Estimation (HP)
|
99% |
2515
2.94 IPS |
|
|
Pose Estimation (Q)
|
97% |
3770
4.41 IPS |
|
|
Object Detection (SP)
|
100% |
1066
84.5 IPS |
|
|
Object Detection (HP)
|
99% |
1752
139.3 IPS |
|
|
Object Detection (Q)
|
88% |
1633
130.9 IPS |
|
|
Face Detection (SP)
|
100% |
3206
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
5398
64.1 IPS |
|
|
Face Detection (Q)
|
97% |
4785
57.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3154
24.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5456
42.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
4928
38.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7623
9.80 IPS |
|
|
Style Transfer (HP)
|
100% |
10432
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
9486
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1335
49.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2340
86.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2216
82.1 IPS |
|
|
Text Classification (SP)
|
71% |
731
1.06 KIPS |
|
|
Text Classification (HP)
|
71% |
882
1.28 KIPS |
|
|
Text Classification (Q)
|
92% |
670
900.7 IPS |
|
|
Machine Translation (SP)
|
100% |
777
13.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1434
24.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1422
24.6 IPS |
