Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
5637
Single Precision Score
2314
Half Precision Score
9498
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 22 2025 08:47 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7700X |
| 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 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4701
874.2 IPS |
|
|
Image Classification (HP)
|
100% |
867
161.3 IPS |
|
|
Image Classification (Q)
|
99% |
9524
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2530
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1175
19.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4372
71.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8496
9.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
7504
8.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
30314
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
4481
355.4 IPS |
|
|
Object Detection (HP)
|
100% |
1102
87.4 IPS |
|
|
Object Detection (Q)
|
86% |
9883
794.3 IPS |
|
|
Face Detection (SP)
|
100% |
9610
114.2 IPS |
|
|
Face Detection (HP)
|
100% |
2390
28.4 IPS |
|
|
Face Detection (Q)
|
97% |
12364
147.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11576
89.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3293
25.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
20595
164.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22062
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
17589
22.6 IPS |
|
|
Style Transfer (Q)
|
98% |
33379
43.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3914
144.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3415
126.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5082
188.2 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
1080
1.44 KIPS |
|
|
Text Classification (Q)
|
97% |
2294
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3263
56.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1025
17.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4834
97.1 IPS |
