Micro-Star International Co., Ltd. MS-7E24
Geekbench AI Score
7450
Single Precision Score
3090
Half Precision Score
13349
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 13 2025 10:14 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E24 |
| Motherboard | Micro-Star International Co., Ltd. B650M GAMING PLUS WIFI (MS-7E24) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6677
1.24 KIPS |
|
|
Image Classification (HP)
|
100% |
1160
215.7 IPS |
|
|
Image Classification (Q)
|
99% |
13130
2.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1811
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1714
27.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
15193
247.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13308
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
10142
11.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
43588
51.1 IPS |
|
|
Object Detection (SP)
|
100% |
6477
513.7 IPS |
|
|
Object Detection (HP)
|
100% |
1487
118.0 IPS |
|
|
Object Detection (Q)
|
86% |
12546
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
11688
138.9 IPS |
|
|
Face Detection (HP)
|
100% |
2993
35.6 IPS |
|
|
Face Detection (Q)
|
97% |
14900
177.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16689
128.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4225
32.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
29116
232.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29674
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
21652
27.8 IPS |
|
|
Style Transfer (Q)
|
98% |
39362
50.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5396
199.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4216
155.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6802
251.9 IPS |
|
|
Text Classification (SP)
|
100% |
3403
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1533
2.05 KIPS |
|
|
Text Classification (Q)
|
97% |
2570
3.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4760
82.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1498
25.8 IPS |
|
|
Machine Translation (Q)
|
65% |
5518
110.9 IPS |
