Micro-Star International Co., Ltd. MS-7D73
Geekbench AI Score
6152
Single Precision Score
1463
Half Precision Score
7861
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | glnn_23 |
| Upload Date | August 20 2024 02:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D73 |
| Motherboard | Micro-Star International Co., Ltd. MPG B650I EDGE WIFI (MS-7D73) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2814
523.4 IPS |
|
|
Image Classification (HP)
|
100% |
235
43.7 IPS |
|
|
Image Classification (Q)
|
99% |
6752
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3071
49.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
385
6.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
4057
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24599
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
13841
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
81298
95.3 IPS |
|
|
Object Detection (SP)
|
100% |
3450
273.6 IPS |
|
|
Object Detection (HP)
|
100% |
306
24.3 IPS |
|
|
Object Detection (Q)
|
88% |
3361
269.4 IPS |
|
|
Face Detection (SP)
|
100% |
5164
61.4 IPS |
|
|
Face Detection (HP)
|
100% |
472
5.61 IPS |
|
|
Face Detection (Q)
|
97% |
7210
86.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13183
101.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1607
12.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
17666
142.3 IPS |
|
|
Style Transfer (SP)
|
100% |
35069
45.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38873
50.0 IPS |
|
|
Style Transfer (Q)
|
98% |
55838
72.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4564
168.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4071
150.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6763
250.4 IPS |
|
|
Text Classification (SP)
|
100% |
2359
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
1042
1.39 KIPS |
|
|
Text Classification (Q)
|
97% |
625
836.5 IPS |
|
|
Machine Translation (SP)
|
100% |
4121
71.0 IPS |
|
|
Machine Translation (HP)
|
100% |
941
16.2 IPS |
|
|
Machine Translation (Q)
|
60% |
4008
89.4 IPS |
