Micro-Star International Co., Ltd. MS-7E62
Geekbench AI Score
8579
Single Precision Score
3094
Half Precision Score
12993
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | rolkit |
| Upload Date | June 30 2025 07:19 AM |
| Views | 12 |
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% |
7434
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
1151
214.1 IPS |
|
|
Image Classification (Q)
|
99% |
14245
2.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3412
55.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1631
26.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5316
86.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14650
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
11003
12.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
48875
57.3 IPS |
|
|
Object Detection (SP)
|
100% |
7122
564.9 IPS |
|
|
Object Detection (HP)
|
100% |
1455
115.4 IPS |
|
|
Object Detection (Q)
|
86% |
14736
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
12663
150.5 IPS |
|
|
Face Detection (HP)
|
100% |
3099
36.8 IPS |
|
|
Face Detection (Q)
|
97% |
15566
185.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18486
142.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4331
33.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
30110
240.3 IPS |
|
|
Style Transfer (SP)
|
100% |
34428
44.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23640
30.4 IPS |
|
|
Style Transfer (Q)
|
98% |
40216
51.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5914
218.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4828
178.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7006
259.4 IPS |
|
|
Text Classification (SP)
|
100% |
3319
4.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1347
1.80 KIPS |
|
|
Text Classification (Q)
|
97% |
2732
3.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
5164
89.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1297
22.3 IPS |
|
|
Machine Translation (Q)
|
65% |
6972
140.1 IPS |
