Micro-Star International Co., Ltd. MS-7E62
Geekbench AI Score
6687
Single Precision Score
2814
Half Precision Score
9019
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | rolkit |
| Upload Date | June 29 2025 06:18 PM |
| Views | 11 |
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-7E62 |
| Motherboard | Micro-Star International Co., Ltd. MAG B850 TOMAHAWK MAX WIFI (MS-7E62) |
| 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% |
4152
772.2 IPS |
|
|
Image Classification (HP)
|
100% |
938
174.4 IPS |
|
|
Image Classification (Q)
|
99% |
8727
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2815
45.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1698
27.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4757
77.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13978
16.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
10730
12.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
47572
55.8 IPS |
|
|
Object Detection (SP)
|
100% |
5017
397.9 IPS |
|
|
Object Detection (HP)
|
100% |
1236
98.1 IPS |
|
|
Object Detection (Q)
|
88% |
4685
375.5 IPS |
|
|
Face Detection (SP)
|
100% |
5536
65.8 IPS |
|
|
Face Detection (HP)
|
100% |
2875
34.2 IPS |
|
|
Face Detection (Q)
|
97% |
7318
87.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
14537
112.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3981
30.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
16344
130.8 IPS |
|
|
Style Transfer (SP)
|
100% |
31230
40.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24684
31.7 IPS |
|
|
Style Transfer (Q)
|
98% |
38688
49.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6008
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4324
159.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6837
253.2 IPS |
|
|
Text Classification (SP)
|
100% |
3271
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1169
1.56 KIPS |
|
|
Text Classification (Q)
|
97% |
2618
3.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4417
76.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1035
17.8 IPS |
|
|
Machine Translation (Q)
|
60% |
4651
103.8 IPS |
