Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
6363
Single Precision Score
2498
Half Precision Score
11603
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 20 2025 07:16 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X |
| 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% |
7562
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
1228
228.3 IPS |
|
|
Image Classification (Q)
|
99% |
14057
2.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2329
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1784
28.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
16116
262.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14600
17.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
7508
8.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
30587
35.9 IPS |
|
|
Object Detection (SP)
|
100% |
4526
359.0 IPS |
|
|
Object Detection (HP)
|
100% |
1012
80.3 IPS |
|
|
Object Detection (Q)
|
86% |
10235
822.6 IPS |
|
|
Face Detection (SP)
|
100% |
8975
106.6 IPS |
|
|
Face Detection (HP)
|
100% |
2117
25.2 IPS |
|
|
Face Detection (Q)
|
97% |
12529
149.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11609
89.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2967
22.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
22133
176.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21053
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17209
22.1 IPS |
|
|
Style Transfer (Q)
|
98% |
32977
42.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3756
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3327
122.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7211
267.0 IPS |
|
|
Text Classification (SP)
|
100% |
2756
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1255
1.68 KIPS |
|
|
Text Classification (Q)
|
97% |
1988
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4121
71.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1261
21.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4760
95.6 IPS |
