Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
7125
Single Precision Score
2409
Half Precision Score
11728
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | June 10 2025 05:41 PM |
| Views | 12 |
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 | Balanced |
| 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% |
4856
903.0 IPS |
|
|
Image Classification (HP)
|
100% |
806
149.8 IPS |
|
|
Image Classification (Q)
|
99% |
13320
2.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2892
46.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1212
19.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4744
77.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16664
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
12003
14.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
51673
60.6 IPS |
|
|
Object Detection (SP)
|
100% |
6017
477.3 IPS |
|
|
Object Detection (HP)
|
100% |
944
74.9 IPS |
|
|
Object Detection (Q)
|
86% |
14599
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
10621
126.2 IPS |
|
|
Face Detection (HP)
|
100% |
2210
26.3 IPS |
|
|
Face Detection (Q)
|
97% |
15229
181.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17018
131.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3131
24.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
27892
222.6 IPS |
|
|
Style Transfer (SP)
|
100% |
33173
42.6 IPS |
|
|
Style Transfer (HP)
|
100% |
28380
36.5 IPS |
|
|
Style Transfer (Q)
|
98% |
42496
54.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4981
183.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4115
151.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5652
209.3 IPS |
|
|
Text Classification (SP)
|
100% |
2371
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
880
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1906
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3383
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (Q)
|
65% |
5313
106.8 IPS |
