Micro-Star International Co., Ltd. MS-7B23
Geekbench AI Score
2182
Single Precision Score
954
Half Precision Score
2675
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 24 2025 03:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-9400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B23 |
| Motherboard | Micro-Star International Co., Ltd. B360M MORTAR (MS-7B23) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9400F |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1779
330.8 IPS |
|
|
Image Classification (HP)
|
100% |
301
56.0 IPS |
|
|
Image Classification (Q)
|
96% |
2492
465.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
804
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
469
7.60 IPS |
|
|
Image Segmentation (Q)
|
97% |
2137
34.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3593
4.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
3013
3.52 IPS |
|
|
Pose Estimation (Q)
|
86% |
6717
7.94 IPS |
|
|
Object Detection (SP)
|
100% |
1754
139.1 IPS |
|
|
Object Detection (HP)
|
100% |
431
34.2 IPS |
|
|
Object Detection (Q)
|
58% |
1549
169.3 IPS |
|
|
Face Detection (SP)
|
100% |
2674
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
899
10.7 IPS |
|
|
Face Detection (Q)
|
96% |
4375
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4475
34.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1291
9.95 IPS |
|
|
Depth Estimation (Q)
|
78% |
5868
46.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8644
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6797
8.74 IPS |
|
|
Style Transfer (Q)
|
87% |
10050
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1589
58.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1348
49.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2626
97.3 IPS |
|
|
Text Classification (SP)
|
100% |
1198
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
610
814.5 IPS |
|
|
Text Classification (Q)
|
97% |
340
455.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1379
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
530
9.13 IPS |
|
|
Machine Translation (Q)
|
68% |
1470
28.4 IPS |
