Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
5775
Single Precision Score
2213
Half Precision Score
9397
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 19 2025 11:55 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D77 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650M-A WIFI (MS-7D77) |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7199
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
1105
205.5 IPS |
|
|
Image Classification (Q)
|
99% |
10314
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2370
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1073
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3943
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8986
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
7520
8.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
30396
35.6 IPS |
|
|
Object Detection (SP)
|
100% |
4391
348.3 IPS |
|
|
Object Detection (HP)
|
100% |
962
76.3 IPS |
|
|
Object Detection (Q)
|
86% |
10320
829.4 IPS |
|
|
Face Detection (SP)
|
100% |
8731
103.7 IPS |
|
|
Face Detection (HP)
|
100% |
2064
24.5 IPS |
|
|
Face Detection (Q)
|
97% |
12077
144.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11468
88.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2886
22.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
21232
169.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21106
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17046
21.9 IPS |
|
|
Style Transfer (Q)
|
98% |
32984
42.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3732
137.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3258
120.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5281
195.6 IPS |
|
|
Text Classification (SP)
|
100% |
2269
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
1017
1.36 KIPS |
|
|
Text Classification (Q)
|
97% |
2084
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3430
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
979
16.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4522
90.9 IPS |
