ASUS System Product Name
Geekbench AI Score
3782
Single Precision Score
1438
Half Precision Score
5115
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Alex647 |
| Upload Date | February 16 2025 06:54 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B450M-PRO S |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2681
498.5 IPS |
|
|
Image Classification (HP)
|
100% |
492
91.6 IPS |
|
|
Image Classification (Q)
|
96% |
5707
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1891
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
717
11.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
2644
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7505
8.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
5603
6.54 IPS |
|
|
Pose Estimation (Q)
|
86% |
19121
22.6 IPS |
|
|
Object Detection (SP)
|
100% |
2847
225.9 IPS |
|
|
Object Detection (HP)
|
100% |
596
47.3 IPS |
|
|
Object Detection (Q)
|
58% |
4170
455.6 IPS |
|
|
Face Detection (SP)
|
100% |
6412
76.2 IPS |
|
|
Face Detection (HP)
|
100% |
1421
16.9 IPS |
|
|
Face Detection (Q)
|
96% |
9212
109.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9183
70.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2111
16.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
14405
114.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17663
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14225
18.3 IPS |
|
|
Style Transfer (Q)
|
87% |
21880
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2104
77.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1831
67.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3332
123.5 IPS |
|
|
Text Classification (SP)
|
100% |
1215
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
622
830.8 IPS |
|
|
Text Classification (Q)
|
97% |
433
579.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2080
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
663
11.4 IPS |
|
|
Machine Translation (Q)
|
68% |
2433
47.0 IPS |
