Micro-Star International Co., Ltd. MS-7E51
Geekbench AI Score
8764
Single Precision Score
3114
Half Precision Score
13185
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 23 2025 11:37 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E51 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870 TOMAHAWK WIFI (MS-7E51) |
| 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% |
8236
1.53 KIPS |
|
|
Image Classification (HP)
|
100% |
1107
205.8 IPS |
|
|
Image Classification (Q)
|
99% |
14531
2.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3138
50.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1723
27.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5344
86.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14082
16.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
11388
13.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
51331
60.2 IPS |
|
|
Object Detection (SP)
|
100% |
7738
613.8 IPS |
|
|
Object Detection (HP)
|
100% |
1407
111.6 IPS |
|
|
Object Detection (Q)
|
86% |
15095
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
12682
150.7 IPS |
|
|
Face Detection (HP)
|
100% |
3100
36.8 IPS |
|
|
Face Detection (Q)
|
97% |
15872
189.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
19147
147.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4268
32.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
31336
250.0 IPS |
|
|
Style Transfer (SP)
|
100% |
37088
47.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26533
34.1 IPS |
|
|
Style Transfer (Q)
|
98% |
39872
51.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5824
215.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4466
164.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7032
260.4 IPS |
|
|
Text Classification (SP)
|
100% |
3442
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
1402
1.87 KIPS |
|
|
Text Classification (Q)
|
97% |
2757
3.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
5263
90.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1279
22.0 IPS |
|
|
Machine Translation (Q)
|
65% |
6866
138.0 IPS |
