Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
6365
Single Precision Score
1366
Half Precision Score
12800
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | danm1988 |
| Upload Date | June 18 2025 08:54 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | openSUSE Leap 15.6 |
| Model | Micro-Star International Co., Ltd. MS-7D77 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650M-A WIFI (MS-7D77) |
| 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 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 249.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2536
471.6 IPS |
|
|
Image Classification (HP)
|
100% |
233
43.4 IPS |
|
|
Image Classification (Q)
|
97% |
10774
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2950
47.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
456
7.39 IPS |
|
|
Image Segmentation (Q)
|
99% |
4299
69.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
24458
28.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
11338
13.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
78862
92.5 IPS |
|
|
Object Detection (SP)
|
100% |
3225
255.8 IPS |
|
|
Object Detection (HP)
|
100% |
327
25.9 IPS |
|
|
Object Detection (Q)
|
86% |
13566
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4880
58.0 IPS |
|
|
Face Detection (HP)
|
100% |
524
6.22 IPS |
|
|
Face Detection (Q)
|
97% |
20563
245.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12975
100.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1469
11.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
27958
223.1 IPS |
|
|
Style Transfer (SP)
|
100% |
46811
60.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29617
38.1 IPS |
|
|
Style Transfer (Q)
|
98% |
45524
58.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4594
169.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3799
140.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6185
229.0 IPS |
|
|
Text Classification (SP)
|
100% |
3468
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
837
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
2362
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3919
67.5 IPS |
|
|
Machine Translation (HP)
|
100% |
794
13.7 IPS |
|
|
Machine Translation (Q)
|
65% |
6236
125.3 IPS |
