Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
7989
Single Precision Score
2777
Half Precision Score
13213
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | April 27 2025 11:04 PM |
| Views | 9 |
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% |
5155
958.7 IPS |
|
|
Image Classification (HP)
|
100% |
845
157.2 IPS |
|
|
Image Classification (Q)
|
99% |
12673
2.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3294
53.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1395
22.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5460
88.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
26423
30.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
15377
17.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
80384
94.3 IPS |
|
|
Object Detection (SP)
|
100% |
5605
444.6 IPS |
|
|
Object Detection (HP)
|
100% |
1089
86.4 IPS |
|
|
Object Detection (Q)
|
86% |
14860
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
10236
121.6 IPS |
|
|
Face Detection (HP)
|
100% |
2472
29.4 IPS |
|
|
Face Detection (Q)
|
97% |
16139
192.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
19648
151.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4049
31.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
33908
270.6 IPS |
|
|
Style Transfer (SP)
|
100% |
43900
56.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36750
47.2 IPS |
|
|
Style Transfer (Q)
|
98% |
47089
60.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4646
171.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3688
136.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6184
229.0 IPS |
|
|
Text Classification (SP)
|
100% |
2325
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
955
1.27 KIPS |
|
|
Text Classification (Q)
|
97% |
2024
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
4421
76.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1068
18.4 IPS |
|
|
Machine Translation (Q)
|
65% |
6084
122.3 IPS |
