Micro-Star International Co., Ltd. MS-7D69
Geekbench AI Score
13648
Single Precision Score
13507
Half Precision Score
32894
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | renkenzaki |
| Upload Date | February 08 2026 01:09 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X 12-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 9 9900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7499
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
7423
1.38 KIPS |
|
|
Image Classification (Q)
|
100% |
16910
3.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9461
153.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9012
146.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
25873
419.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
25367
29.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
25669
30.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
97727
114.4 IPS |
|
|
Object Detection (SP)
|
100% |
8124
644.4 IPS |
|
|
Object Detection (HP)
|
100% |
8083
641.2 IPS |
|
|
Object Detection (Q)
|
88% |
20158
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
19482
231.5 IPS |
|
|
Face Detection (HP)
|
100% |
19170
227.8 IPS |
|
|
Face Detection (Q)
|
100% |
54400
646.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
22522
173.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
21172
163.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
61760
480.6 IPS |
|
|
Style Transfer (SP)
|
100% |
65038
83.6 IPS |
|
|
Style Transfer (HP)
|
100% |
65991
84.8 IPS |
|
|
Style Transfer (Q)
|
98% |
239404
308.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13248
489.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13331
492.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36276
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
4613
6.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4744
6.33 KIPS |
|
|
Text Classification (Q)
|
92% |
6029
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
8798
151.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8603
148.2 IPS |
|
|
Machine Translation (Q)
|
100% |
9782
168.5 IPS |
