Micro-Star International Co., Ltd. MS-7E51
Geekbench AI Score
8923
Single Precision Score
3153
Half Precision Score
13035
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 12 2025 07:39 PM |
| Views | 3 |
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% |
8260
1.54 KIPS |
|
|
Image Classification (HP)
|
100% |
1098
204.1 IPS |
|
|
Image Classification (Q)
|
99% |
14432
2.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3285
53.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1717
27.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5441
88.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15878
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
12128
14.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
51187
60.0 IPS |
|
|
Object Detection (SP)
|
100% |
7533
597.5 IPS |
|
|
Object Detection (HP)
|
100% |
1457
115.5 IPS |
|
|
Object Detection (Q)
|
86% |
14912
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
12930
153.6 IPS |
|
|
Face Detection (HP)
|
100% |
2955
35.1 IPS |
|
|
Face Detection (Q)
|
97% |
14964
178.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
19686
151.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4332
33.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
30312
241.9 IPS |
|
|
Style Transfer (SP)
|
100% |
35889
46.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26080
33.5 IPS |
|
|
Style Transfer (Q)
|
98% |
40214
51.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6066
224.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4875
180.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6923
256.3 IPS |
|
|
Text Classification (SP)
|
100% |
3394
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
1359
1.81 KIPS |
|
|
Text Classification (Q)
|
97% |
2701
3.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
5243
90.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1319
22.7 IPS |
|
|
Machine Translation (Q)
|
65% |
6929
139.2 IPS |
