Micro-Star International Co., Ltd. MS-7D69
Geekbench AI Score
13967
Single Precision Score
13956
Half Precision Score
35628
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | renkenzaki |
| Upload Date | February 10 2026 07:37 PM |
| Views | 4 |
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% |
9251
1.72 KIPS |
|
|
Image Classification (HP)
|
100% |
9267
1.72 KIPS |
|
|
Image Classification (Q)
|
100% |
22091
4.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9694
157.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9700
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25496
413.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18284
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18238
21.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
72232
84.6 IPS |
|
|
Object Detection (SP)
|
100% |
8576
680.2 IPS |
|
|
Object Detection (HP)
|
100% |
8452
670.5 IPS |
|
|
Object Detection (Q)
|
88% |
23445
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
19774
235.0 IPS |
|
|
Face Detection (HP)
|
100% |
19830
235.6 IPS |
|
|
Face Detection (Q)
|
100% |
58059
689.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
21074
162.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
21139
162.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
65254
507.8 IPS |
|
|
Style Transfer (SP)
|
100% |
50388
64.8 IPS |
|
|
Style Transfer (HP)
|
100% |
50750
65.2 IPS |
|
|
Style Transfer (Q)
|
98% |
185680
239.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11475
423.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11434
422.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
33618
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
6988
9.33 KIPS |
|
|
Text Classification (HP)
|
100% |
6941
9.26 KIPS |
|
|
Text Classification (Q)
|
92% |
9575
12.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
11934
205.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11984
206.4 IPS |
|
|
Machine Translation (Q)
|
100% |
15262
262.9 IPS |
