Micro-Star International Co., Ltd. MS-7E70
Geekbench AI Score
5501
Single Precision Score
2022
Half Precision Score
10343
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 23 2025 02:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E70 |
| Motherboard | Micro-Star International Co., Ltd. PRO X870E-P WIFI (MS-7E70) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4312
801.8 IPS |
|
|
Image Classification (HP)
|
100% |
651
121.1 IPS |
|
|
Image Classification (Q)
|
99% |
9187
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2483
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
889
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
12444
202.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12862
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
9372
10.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
38972
45.7 IPS |
|
|
Object Detection (SP)
|
100% |
4458
353.6 IPS |
|
|
Object Detection (HP)
|
100% |
843
66.9 IPS |
|
|
Object Detection (Q)
|
86% |
10414
836.9 IPS |
|
|
Face Detection (SP)
|
100% |
8120
96.5 IPS |
|
|
Face Detection (HP)
|
100% |
1621
19.3 IPS |
|
|
Face Detection (Q)
|
97% |
11635
138.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12058
92.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2982
23.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
21890
174.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26538
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22916
29.5 IPS |
|
|
Style Transfer (Q)
|
98% |
38631
49.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2800
103.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2555
94.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4835
179.0 IPS |
|
|
Text Classification (SP)
|
100% |
1619
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
805
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1372
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3514
60.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1098
18.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4628
93.0 IPS |
