ASUS System Product Name
Geekbench AI Score
6716
Single Precision Score
2826
Half Precision Score
7827
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | MrCrispr |
| Upload Date | September 15 2024 01:44 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| 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 | 5.45 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2798
520.3 IPS |
|
|
Image Classification (HP)
|
100% |
848
157.8 IPS |
|
|
Image Classification (Q)
|
99% |
6802
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2827
45.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1438
23.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4093
66.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
30257
35.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16648
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
77638
91.0 IPS |
|
|
Object Detection (SP)
|
100% |
3575
283.5 IPS |
|
|
Object Detection (HP)
|
100% |
1097
87.0 IPS |
|
|
Object Detection (Q)
|
88% |
3568
286.0 IPS |
|
|
Face Detection (SP)
|
100% |
5326
63.3 IPS |
|
|
Face Detection (HP)
|
100% |
2557
30.4 IPS |
|
|
Face Detection (Q)
|
97% |
7455
88.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
14188
109.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4156
32.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
16155
129.3 IPS |
|
|
Style Transfer (SP)
|
100% |
51395
66.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37887
48.7 IPS |
|
|
Style Transfer (Q)
|
98% |
54537
70.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5350
197.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3869
142.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7018
259.9 IPS |
|
|
Text Classification (SP)
|
100% |
2543
3.39 KIPS |
|
|
Text Classification (HP)
|
100% |
957
1.28 KIPS |
|
|
Text Classification (Q)
|
97% |
601
805.2 IPS |
|
|
Machine Translation (SP)
|
100% |
4133
71.2 IPS |
|
|
Machine Translation (HP)
|
100% |
979
16.9 IPS |
|
|
Machine Translation (Q)
|
60% |
4043
90.2 IPS |
