Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
7592
Single Precision Score
2688
Half Precision Score
12854
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | June 14 2025 01:01 AM |
| Views | 7 |
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, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5395
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
827
153.7 IPS |
|
|
Image Classification (Q)
|
99% |
13210
2.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2548
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1358
22.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5317
86.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
24581
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
14383
16.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
81304
95.3 IPS |
|
|
Object Detection (SP)
|
100% |
5424
430.2 IPS |
|
|
Object Detection (HP)
|
100% |
1067
84.6 IPS |
|
|
Object Detection (Q)
|
86% |
14598
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
9773
116.1 IPS |
|
|
Face Detection (HP)
|
100% |
2411
28.6 IPS |
|
|
Face Detection (Q)
|
97% |
15559
185.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19143
147.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4075
31.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
28648
228.6 IPS |
|
|
Style Transfer (SP)
|
100% |
40412
52.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32098
41.3 IPS |
|
|
Style Transfer (Q)
|
98% |
50230
64.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4770
176.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3614
133.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5974
221.2 IPS |
|
|
Text Classification (SP)
|
100% |
2346
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
950
1.27 KIPS |
|
|
Text Classification (Q)
|
97% |
2039
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4105
70.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1059
18.3 IPS |
|
|
Machine Translation (Q)
|
65% |
5417
108.8 IPS |
