Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
7284
Single Precision Score
2674
Half Precision Score
12207
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | August 09 2025 03:32 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D77 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650M-A WIFI (MS-7D77) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 8 Cores |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5092
946.9 IPS |
|
|
Image Classification (HP)
|
100% |
1039
193.2 IPS |
|
|
Image Classification (Q)
|
99% |
13014
2.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3059
49.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1345
21.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5038
81.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7575
8.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
5449
6.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
34955
41.0 IPS |
|
|
Object Detection (SP)
|
100% |
4720
374.4 IPS |
|
|
Object Detection (HP)
|
100% |
1061
84.1 IPS |
|
|
Object Detection (Q)
|
86% |
11232
902.7 IPS |
|
|
Face Detection (SP)
|
100% |
11136
132.3 IPS |
|
|
Face Detection (HP)
|
100% |
2600
30.9 IPS |
|
|
Face Detection (Q)
|
97% |
15464
184.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12451
95.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3082
23.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
29079
232.0 IPS |
|
|
Style Transfer (SP)
|
100% |
40379
51.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28266
36.3 IPS |
|
|
Style Transfer (Q)
|
98% |
43372
55.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6380
235.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5228
193.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7259
268.8 IPS |
|
|
Text Classification (SP)
|
100% |
3476
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
1403
1.87 KIPS |
|
|
Text Classification (Q)
|
97% |
2768
3.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
6081
104.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1395
24.0 IPS |
|
|
Machine Translation (Q)
|
65% |
7284
146.4 IPS |
