Micro-Star International Co., Ltd. MS-7D69
Geekbench AI Score
13798
Single Precision Score
13792
Half Precision Score
35499
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | renkenzaki |
| Upload Date | February 10 2026 07:28 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% |
9254
1.72 KIPS |
|
|
Image Classification (HP)
|
100% |
9324
1.73 KIPS |
|
|
Image Classification (Q)
|
100% |
21996
4.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9948
161.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9959
161.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
25241
409.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18324
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18298
21.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
72586
85.0 IPS |
|
|
Object Detection (SP)
|
100% |
8349
662.2 IPS |
|
|
Object Detection (HP)
|
100% |
8435
669.0 IPS |
|
|
Object Detection (Q)
|
88% |
23507
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
17909
212.8 IPS |
|
|
Face Detection (HP)
|
100% |
17463
207.5 IPS |
|
|
Face Detection (Q)
|
100% |
57865
687.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
21216
163.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
21014
161.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
64801
504.3 IPS |
|
|
Style Transfer (SP)
|
100% |
50645
65.1 IPS |
|
|
Style Transfer (HP)
|
100% |
50483
64.9 IPS |
|
|
Style Transfer (Q)
|
98% |
186150
240.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11325
418.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11461
423.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34011
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
6895
9.20 KIPS |
|
|
Text Classification (HP)
|
100% |
6903
9.21 KIPS |
|
|
Text Classification (Q)
|
92% |
9575
12.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
11825
203.7 IPS |
|
|
Machine Translation (HP)
|
100% |
11857
204.2 IPS |
|
|
Machine Translation (Q)
|
100% |
14760
254.2 IPS |
