Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
7307
Single Precision Score
2622
Half Precision Score
12639
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | April 03 2025 01:12 PM |
| 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% |
5391
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
821
152.6 IPS |
|
|
Image Classification (Q)
|
99% |
12259
2.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2645
42.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1370
22.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5267
85.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
23669
27.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14276
16.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
75186
88.2 IPS |
|
|
Object Detection (SP)
|
100% |
5266
417.7 IPS |
|
|
Object Detection (HP)
|
100% |
1031
81.8 IPS |
|
|
Object Detection (Q)
|
86% |
15235
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
9525
113.2 IPS |
|
|
Face Detection (HP)
|
100% |
2388
28.4 IPS |
|
|
Face Detection (Q)
|
97% |
15051
179.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19299
148.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3848
29.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
29597
236.2 IPS |
|
|
Style Transfer (SP)
|
100% |
38148
49.0 IPS |
|
|
Style Transfer (HP)
|
100% |
31650
40.7 IPS |
|
|
Style Transfer (Q)
|
98% |
47256
60.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4177
154.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3373
124.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5980
221.4 IPS |
|
|
Text Classification (SP)
|
100% |
2263
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
911
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
2037
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3687
63.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1042
17.9 IPS |
|
|
Machine Translation (Q)
|
65% |
5487
110.3 IPS |
