Micro-Star International Co., Ltd. MS-7E51
Geekbench AI Score
9148
Single Precision Score
3262
Half Precision Score
13391
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 24 2025 03:19 PM |
| 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% |
8469
1.57 KIPS |
|
|
Image Classification (HP)
|
100% |
1158
215.3 IPS |
|
|
Image Classification (Q)
|
99% |
14971
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3129
50.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1783
28.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5428
88.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16579
19.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
12532
14.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
52774
61.9 IPS |
|
|
Object Detection (SP)
|
100% |
7906
627.1 IPS |
|
|
Object Detection (HP)
|
100% |
1459
115.7 IPS |
|
|
Object Detection (Q)
|
86% |
14916
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
13078
155.4 IPS |
|
|
Face Detection (HP)
|
100% |
3127
37.2 IPS |
|
|
Face Detection (Q)
|
97% |
16248
193.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20344
156.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4363
33.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
31293
249.7 IPS |
|
|
Style Transfer (SP)
|
100% |
37733
48.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26778
34.4 IPS |
|
|
Style Transfer (Q)
|
98% |
40244
51.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6226
229.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5175
191.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7130
264.0 IPS |
|
|
Text Classification (SP)
|
100% |
3491
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
1425
1.90 KIPS |
|
|
Text Classification (Q)
|
97% |
2795
3.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
5416
93.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1344
23.1 IPS |
|
|
Machine Translation (Q)
|
65% |
7110
142.9 IPS |
