Micro-Star International Co., Ltd. MS-7D69
Geekbench AI Score
13993
Single Precision Score
13995
Half Precision Score
35581
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | renkenzaki |
| Upload Date | February 10 2026 07:35 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D69 |
| Motherboard | Micro-Star International Co., Ltd. MEG X670E ACE (MS-7D69) |
| Power Plan | Ultimate Performance |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9299
1.73 KIPS |
|
|
Image Classification (HP)
|
100% |
9344
1.74 KIPS |
|
|
Image Classification (Q)
|
100% |
21937
4.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9847
159.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9781
158.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
25447
412.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18211
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18273
21.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
71440
83.6 IPS |
|
|
Object Detection (SP)
|
100% |
8497
674.0 IPS |
|
|
Object Detection (HP)
|
100% |
8610
683.0 IPS |
|
|
Object Detection (Q)
|
88% |
23491
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
19711
234.2 IPS |
|
|
Face Detection (HP)
|
100% |
19511
231.8 IPS |
|
|
Face Detection (Q)
|
100% |
58077
690.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
21132
162.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
21094
162.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
64876
504.9 IPS |
|
|
Style Transfer (SP)
|
100% |
49949
64.2 IPS |
|
|
Style Transfer (HP)
|
100% |
50242
64.6 IPS |
|
|
Style Transfer (Q)
|
98% |
187287
241.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11642
429.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11649
430.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34029
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
6899
9.21 KIPS |
|
|
Text Classification (HP)
|
100% |
6862
9.16 KIPS |
|
|
Text Classification (Q)
|
92% |
9510
12.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
12156
209.4 IPS |
|
|
Machine Translation (HP)
|
100% |
12128
208.9 IPS |
|
|
Machine Translation (Q)
|
100% |
15202
261.9 IPS |
