Micro-Star International Co., Ltd. MS-7E62
Geekbench AI Score
11189
Single Precision Score
11285
Half Precision Score
31076
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | linuxferret |
| Upload Date | March 13 2026 07:59 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| 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% |
7638
1.42 KIPS |
|
|
Image Classification (HP)
|
100% |
7704
1.43 KIPS |
|
|
Image Classification (Q)
|
100% |
19962
3.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7834
127.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8216
133.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
21610
350.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14339
16.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
14535
17.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
57772
67.6 IPS |
|
|
Object Detection (SP)
|
100% |
6694
531.0 IPS |
|
|
Object Detection (HP)
|
100% |
6860
544.2 IPS |
|
|
Object Detection (Q)
|
88% |
20258
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
13279
157.8 IPS |
|
|
Face Detection (HP)
|
100% |
13480
160.2 IPS |
|
|
Face Detection (Q)
|
100% |
51371
610.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16925
130.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17037
131.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
56181
437.2 IPS |
|
|
Style Transfer (SP)
|
100% |
40079
51.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39946
51.4 IPS |
|
|
Style Transfer (Q)
|
98% |
154281
198.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9257
341.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8837
326.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30052
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
6433
8.59 KIPS |
|
|
Text Classification (HP)
|
100% |
6421
8.57 KIPS |
|
|
Text Classification (Q)
|
92% |
9227
12.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
9984
172.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10204
175.8 IPS |
|
|
Machine Translation (Q)
|
100% |
13478
232.2 IPS |
