Micro-Star International Co., Ltd. MS-7B24
Geekbench AI Score
1349
Single Precision Score
697
Half Precision Score
2026
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 12 2025 11:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-8100 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B24 |
| Motherboard | Micro-Star International Co., Ltd. B360M BAZOOKA (MS-7B24) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i3-8100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 11 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 20.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1054
196.0 IPS |
|
|
Image Classification (HP)
|
100% |
267
49.7 IPS |
|
|
Image Classification (Q)
|
96% |
1740
324.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
512
8.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
363
5.89 IPS |
|
|
Image Segmentation (Q)
|
97% |
1301
21.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2241
2.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
2010
2.35 IPS |
|
|
Pose Estimation (Q)
|
86% |
4506
5.33 IPS |
|
|
Object Detection (SP)
|
100% |
943
74.8 IPS |
|
|
Object Detection (HP)
|
100% |
324
25.7 IPS |
|
|
Object Detection (Q)
|
58% |
1268
138.6 IPS |
|
|
Face Detection (SP)
|
100% |
1252
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
595
7.07 IPS |
|
|
Face Detection (Q)
|
96% |
3082
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2626
20.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
995
7.67 IPS |
|
|
Depth Estimation (Q)
|
78% |
3970
31.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5386
6.92 IPS |
|
|
Style Transfer (HP)
|
100% |
4577
5.88 IPS |
|
|
Style Transfer (Q)
|
87% |
5524
7.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1043
38.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
882
32.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1428
52.9 IPS |
|
|
Text Classification (SP)
|
100% |
994
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
505
673.8 IPS |
|
|
Text Classification (Q)
|
97% |
873
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
960
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
359
6.19 IPS |
|
|
Machine Translation (Q)
|
68% |
1072
20.7 IPS |
