Micro-Star International Co., Ltd. MS-7E62
Geekbench AI Score
11410
Single Precision Score
11520
Half Precision Score
28996
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | rolkit |
| Upload Date | June 29 2025 06:21 PM |
| Views | 7 |
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% |
7689
1.43 KIPS |
|
|
Image Classification (HP)
|
100% |
7738
1.44 KIPS |
|
|
Image Classification (Q)
|
100% |
17723
3.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7298
118.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7354
119.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
16538
268.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14671
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
15219
17.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
61717
72.3 IPS |
|
|
Object Detection (SP)
|
100% |
7159
567.9 IPS |
|
|
Object Detection (HP)
|
100% |
7180
569.5 IPS |
|
|
Object Detection (Q)
|
88% |
19989
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
16531
196.4 IPS |
|
|
Face Detection (HP)
|
100% |
16461
195.6 IPS |
|
|
Face Detection (Q)
|
100% |
47571
565.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17518
135.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17488
134.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
54498
424.0 IPS |
|
|
Style Transfer (SP)
|
100% |
41243
53.0 IPS |
|
|
Style Transfer (HP)
|
100% |
42124
54.2 IPS |
|
|
Style Transfer (Q)
|
98% |
154694
199.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9437
348.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9574
353.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29922
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
6401
8.54 KIPS |
|
|
Text Classification (HP)
|
100% |
6401
8.54 KIPS |
|
|
Text Classification (Q)
|
92% |
9048
12.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
8796
151.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8909
153.5 IPS |
|
|
Machine Translation (Q)
|
100% |
10703
184.4 IPS |
