Micro-Star International Co., Ltd. MS-7E62
Geekbench AI Score
11851
Single Precision Score
11951
Half Precision Score
31708
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | rolkit |
| Upload Date | June 30 2025 07:22 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
7715
1.43 KIPS |
|
|
Image Classification (HP)
|
100% |
7784
1.45 KIPS |
|
|
Image Classification (Q)
|
100% |
19811
3.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8110
131.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8217
133.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
21851
354.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14810
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
14966
17.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
62354
73.0 IPS |
|
|
Object Detection (SP)
|
100% |
7322
580.8 IPS |
|
|
Object Detection (HP)
|
100% |
7410
587.7 IPS |
|
|
Object Detection (Q)
|
88% |
21490
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
16339
194.1 IPS |
|
|
Face Detection (HP)
|
100% |
16156
192.0 IPS |
|
|
Face Detection (Q)
|
100% |
50011
594.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17396
134.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17557
135.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
56397
438.9 IPS |
|
|
Style Transfer (SP)
|
100% |
41495
53.3 IPS |
|
|
Style Transfer (HP)
|
100% |
42101
54.1 IPS |
|
|
Style Transfer (Q)
|
98% |
156271
201.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9495
350.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9679
357.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30243
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
6608
8.82 KIPS |
|
|
Text Classification (HP)
|
100% |
6588
8.79 KIPS |
|
|
Text Classification (Q)
|
92% |
9202
12.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
10886
187.5 IPS |
|
|
Machine Translation (HP)
|
100% |
11012
189.7 IPS |
|
|
Machine Translation (Q)
|
100% |
14438
248.7 IPS |
