Micro-Star International Co., Ltd. MS-7D69
Geekbench AI Score
13823
Single Precision Score
14003
Half Precision Score
35486
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | renkenzaki |
| Upload Date | February 10 2026 07:39 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% |
9293
1.73 KIPS |
|
|
Image Classification (HP)
|
100% |
9297
1.73 KIPS |
|
|
Image Classification (Q)
|
100% |
21049
3.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8657
140.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9722
157.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
25521
413.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18232
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18346
21.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
72369
84.7 IPS |
|
|
Object Detection (SP)
|
100% |
8369
663.8 IPS |
|
|
Object Detection (HP)
|
100% |
8543
677.6 IPS |
|
|
Object Detection (Q)
|
88% |
23504
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
19909
236.6 IPS |
|
|
Face Detection (HP)
|
100% |
20146
239.4 IPS |
|
|
Face Detection (Q)
|
100% |
58489
695.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
21189
163.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
21189
163.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
65500
509.7 IPS |
|
|
Style Transfer (SP)
|
100% |
51012
65.6 IPS |
|
|
Style Transfer (HP)
|
100% |
50283
64.6 IPS |
|
|
Style Transfer (Q)
|
98% |
184515
237.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11354
419.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11412
421.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
33787
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
6903
9.21 KIPS |
|
|
Text Classification (HP)
|
100% |
6955
9.28 KIPS |
|
|
Text Classification (Q)
|
92% |
9603
12.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
12307
212.0 IPS |
|
|
Machine Translation (HP)
|
100% |
12017
207.0 IPS |
|
|
Machine Translation (Q)
|
100% |
15111
260.3 IPS |
