Micro-Star International Co., Ltd. MS-7D69
Geekbench AI Score
13687
Single Precision Score
13572
Half Precision Score
33111
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | renkenzaki |
| Upload Date | February 08 2026 12:59 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% |
7475
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
7213
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
18071
3.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9187
148.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9568
155.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
26126
423.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
25684
30.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
25420
29.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
98500
115.3 IPS |
|
|
Object Detection (SP)
|
100% |
8303
658.6 IPS |
|
|
Object Detection (HP)
|
100% |
8180
648.9 IPS |
|
|
Object Detection (Q)
|
88% |
19999
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
18313
217.6 IPS |
|
|
Face Detection (HP)
|
100% |
17782
211.3 IPS |
|
|
Face Detection (Q)
|
100% |
55198
655.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
22158
170.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22538
173.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
63393
493.3 IPS |
|
|
Style Transfer (SP)
|
100% |
66718
85.8 IPS |
|
|
Style Transfer (HP)
|
100% |
66335
85.3 IPS |
|
|
Style Transfer (Q)
|
98% |
239575
308.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13309
491.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13425
495.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36247
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
5108
6.82 KIPS |
|
|
Text Classification (HP)
|
100% |
4667
6.23 KIPS |
|
|
Text Classification (Q)
|
92% |
5802
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
8562
147.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8877
152.9 IPS |
|
|
Machine Translation (Q)
|
100% |
9660
166.4 IPS |
