Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
4906
Single Precision Score
2022
Half Precision Score
8816
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 04 2025 09:06 AM |
| Views | 4 |
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% |
4455
828.4 IPS |
|
|
Image Classification (HP)
|
100% |
845
157.1 IPS |
|
|
Image Classification (Q)
|
99% |
9286
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2423
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1164
18.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4385
71.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8327
9.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
6879
8.03 IPS |
|
|
Pose Estimation (Q)
|
94% |
28599
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
4277
339.3 IPS |
|
|
Object Detection (HP)
|
100% |
696
55.2 IPS |
|
|
Object Detection (Q)
|
86% |
6671
536.1 IPS |
|
|
Face Detection (SP)
|
100% |
5773
68.6 IPS |
|
|
Face Detection (HP)
|
100% |
1940
23.0 IPS |
|
|
Face Detection (Q)
|
97% |
11317
134.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7898
60.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2942
22.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
19161
152.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18399
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13595
17.5 IPS |
|
|
Style Transfer (Q)
|
98% |
31865
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3597
132.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2996
110.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4928
182.5 IPS |
|
|
Text Classification (SP)
|
100% |
2210
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
1046
1.40 KIPS |
|
|
Text Classification (Q)
|
97% |
2262
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3157
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
999
17.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4745
95.3 IPS |
