Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
7869
Single Precision Score
2784
Half Precision Score
12978
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | April 14 2025 02:46 AM |
| Views | 3 |
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% |
5256
977.5 IPS |
|
|
Image Classification (HP)
|
100% |
834
155.1 IPS |
|
|
Image Classification (Q)
|
99% |
12632
2.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2730
44.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1388
22.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5581
90.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
26519
30.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
15934
18.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
77017
90.3 IPS |
|
|
Object Detection (SP)
|
100% |
5356
424.9 IPS |
|
|
Object Detection (HP)
|
100% |
1060
84.1 IPS |
|
|
Object Detection (Q)
|
86% |
14902
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
10251
121.8 IPS |
|
|
Face Detection (HP)
|
100% |
2489
29.6 IPS |
|
|
Face Detection (Q)
|
97% |
15524
185.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19345
149.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4234
32.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
28950
231.0 IPS |
|
|
Style Transfer (SP)
|
100% |
46121
59.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35312
45.4 IPS |
|
|
Style Transfer (Q)
|
98% |
48934
63.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4757
175.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3765
139.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6025
223.1 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
955
1.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1956
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4460
76.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1070
18.4 IPS |
|
|
Machine Translation (Q)
|
65% |
6465
129.9 IPS |
