ASUS System Product Name
Geekbench AI Score
6645
Single Precision Score
2831
Half Precision Score
7700
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | MrCrispr |
| Upload Date | September 15 2024 01:29 PM |
| Views | 3 |
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 | 5.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2750
511.4 IPS |
|
|
Image Classification (HP)
|
100% |
843
156.8 IPS |
|
|
Image Classification (Q)
|
99% |
6571
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2969
48.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1444
23.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3977
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
30370
35.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17047
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
79258
92.9 IPS |
|
|
Object Detection (SP)
|
100% |
3549
281.5 IPS |
|
|
Object Detection (HP)
|
100% |
1073
85.1 IPS |
|
|
Object Detection (Q)
|
88% |
3494
280.1 IPS |
|
|
Face Detection (SP)
|
100% |
5202
61.8 IPS |
|
|
Face Detection (HP)
|
100% |
2562
30.4 IPS |
|
|
Face Detection (Q)
|
97% |
7488
89.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13930
107.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4200
32.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
15155
121.3 IPS |
|
|
Style Transfer (SP)
|
82% |
50126
65.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37099
47.7 IPS |
|
|
Style Transfer (Q)
|
98% |
55083
71.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5313
196.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3917
144.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6791
251.5 IPS |
|
|
Text Classification (SP)
|
100% |
2509
3.35 KIPS |
|
|
Text Classification (HP)
|
100% |
982
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
597
800.2 IPS |
|
|
Machine Translation (SP)
|
100% |
3942
67.9 IPS |
|
|
Machine Translation (HP)
|
100% |
970
16.7 IPS |
|
|
Machine Translation (Q)
|
60% |
3996
89.1 IPS |
