Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
5673
Single Precision Score
2340
Half Precision Score
9494
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 10:25 AM |
| Views | 6 |
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% |
4751
883.5 IPS |
|
|
Image Classification (HP)
|
100% |
864
160.6 IPS |
|
|
Image Classification (Q)
|
99% |
9706
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2563
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1174
19.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4266
69.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8932
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
7488
8.74 IPS |
|
|
Pose Estimation (Q)
|
94% |
30651
35.9 IPS |
|
|
Object Detection (SP)
|
100% |
4504
357.3 IPS |
|
|
Object Detection (HP)
|
100% |
1133
89.9 IPS |
|
|
Object Detection (Q)
|
86% |
10117
813.1 IPS |
|
|
Face Detection (SP)
|
100% |
9660
114.8 IPS |
|
|
Face Detection (HP)
|
100% |
2368
28.1 IPS |
|
|
Face Detection (Q)
|
97% |
11962
142.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11742
90.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3400
26.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
20857
166.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21781
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
18398
23.7 IPS |
|
|
Style Transfer (Q)
|
98% |
34112
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3993
147.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3452
127.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4890
181.1 IPS |
|
|
Text Classification (SP)
|
100% |
2276
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
1069
1.43 KIPS |
|
|
Text Classification (Q)
|
97% |
2292
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3139
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1048
18.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4862
97.7 IPS |
