Micro-Star International Co., Ltd. MS-7E62
Geekbench AI Score
7077
Single Precision Score
2834
Half Precision Score
13551
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | linuxferret |
| Upload Date | March 13 2026 07:55 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X |
| System Information | |
|---|---|
| Operating System | Microsoft 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) |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5703
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
1000
185.9 IPS |
|
|
Image Classification (Q)
|
99% |
13652
2.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2227
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1565
25.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
15337
249.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11400
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
9012
10.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
44697
52.4 IPS |
|
|
Object Detection (SP)
|
100% |
6664
528.6 IPS |
|
|
Object Detection (HP)
|
100% |
1303
103.4 IPS |
|
|
Object Detection (Q)
|
86% |
13961
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
10052
119.4 IPS |
|
|
Face Detection (HP)
|
100% |
2681
31.9 IPS |
|
|
Face Detection (Q)
|
97% |
14574
173.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16617
128.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3775
29.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
27146
216.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25943
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
20365
26.2 IPS |
|
|
Style Transfer (Q)
|
98% |
36842
47.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4637
171.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4045
149.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7338
271.7 IPS |
|
|
Text Classification (SP)
|
100% |
3512
4.69 KIPS |
|
|
Text Classification (HP)
|
100% |
1501
2.00 KIPS |
|
|
Text Classification (Q)
|
97% |
2556
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4633
79.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1457
25.1 IPS |
|
|
Machine Translation (Q)
|
65% |
5848
117.5 IPS |
