Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
7898
Single Precision Score
2707
Half Precision Score
11733
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | May 08 2025 02:24 AM |
| Views | 2 |
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 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5210
968.9 IPS |
|
|
Image Classification (HP)
|
100% |
843
156.7 IPS |
|
|
Image Classification (Q)
|
99% |
11240
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3187
51.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1382
22.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5298
86.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
25936
30.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
15519
18.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
54032
63.4 IPS |
|
|
Object Detection (SP)
|
100% |
6963
552.3 IPS |
|
|
Object Detection (HP)
|
100% |
1049
83.2 IPS |
|
|
Object Detection (Q)
|
86% |
14150
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
10020
119.1 IPS |
|
|
Face Detection (HP)
|
100% |
2160
25.7 IPS |
|
|
Face Detection (Q)
|
97% |
14700
175.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
19439
149.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3748
28.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
30664
244.7 IPS |
|
|
Style Transfer (SP)
|
100% |
35543
45.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29731
38.2 IPS |
|
|
Style Transfer (Q)
|
98% |
41404
53.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5393
199.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4517
166.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5553
205.6 IPS |
|
|
Text Classification (SP)
|
100% |
2185
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
1021
1.36 KIPS |
|
|
Text Classification (Q)
|
97% |
1903
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3861
66.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1006
17.3 IPS |
|
|
Machine Translation (Q)
|
65% |
5510
110.7 IPS |
