Micro-Star International Co., Ltd. MS-7B24
Geekbench AI Score
2124
Single Precision Score
963
Half Precision Score
2506
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | AYBamagaus |
| Upload Date | April 09 2025 12:06 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 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 i5-8400 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1675
311.5 IPS |
|
|
Image Classification (HP)
|
100% |
345
64.1 IPS |
|
|
Image Classification (Q)
|
96% |
2451
457.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
822
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
505
8.18 IPS |
|
|
Image Segmentation (Q)
|
97% |
1356
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3882
4.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
3136
3.66 IPS |
|
|
Pose Estimation (Q)
|
86% |
6900
8.16 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.7 IPS |
|
|
Object Detection (HP)
|
100% |
427
33.9 IPS |
|
|
Object Detection (Q)
|
58% |
1524
166.5 IPS |
|
|
Face Detection (SP)
|
100% |
2379
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
859
10.2 IPS |
|
|
Face Detection (Q)
|
96% |
4352
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4512
34.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1299
10.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
6037
48.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8799
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6916
8.89 IPS |
|
|
Style Transfer (Q)
|
87% |
9750
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1556
57.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1348
49.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1927
71.4 IPS |
|
|
Text Classification (SP)
|
100% |
1123
1.50 KIPS |
|
|
Text Classification (HP)
|
100% |
582
776.7 IPS |
|
|
Text Classification (Q)
|
97% |
370
495.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1339
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
488
8.41 IPS |
|
|
Machine Translation (Q)
|
68% |
1534
29.6 IPS |
