Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
13699
Single Precision Score
13658
Half Precision Score
32786
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | April 27 2025 11:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
7066
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
6689
1.24 KIPS |
|
|
Image Classification (Q)
|
100% |
16815
3.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9243
149.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9665
156.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23989
388.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
29025
33.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
29460
34.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
119074
139.4 IPS |
|
|
Object Detection (SP)
|
100% |
8310
659.2 IPS |
|
|
Object Detection (HP)
|
100% |
8758
694.7 IPS |
|
|
Object Detection (Q)
|
88% |
19027
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
15851
188.3 IPS |
|
|
Face Detection (HP)
|
100% |
17006
202.1 IPS |
|
|
Face Detection (Q)
|
100% |
47693
566.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
23934
184.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22287
171.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
67886
528.4 IPS |
|
|
Style Transfer (SP)
|
100% |
76245
98.0 IPS |
|
|
Style Transfer (HP)
|
100% |
75689
97.3 IPS |
|
|
Style Transfer (Q)
|
98% |
272048
350.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14250
526.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13908
513.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
37375
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
4457
5.95 KIPS |
|
|
Text Classification (HP)
|
100% |
4373
5.84 KIPS |
|
|
Text Classification (Q)
|
92% |
5488
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
8043
138.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7767
133.8 IPS |
|
|
Machine Translation (Q)
|
100% |
8692
149.7 IPS |
