ASUS System Product Name
Geekbench AI Score
5605
Single Precision Score
2563
Half Precision Score
6895
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | MrCrispr |
| Upload Date | September 15 2024 11:04 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 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 | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2347
436.4 IPS |
|
|
Image Classification (HP)
|
100% |
764
142.1 IPS |
|
|
Image Classification (Q)
|
99% |
6249
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2279
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1336
21.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3952
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
26791
31.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
14737
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
72054
84.5 IPS |
|
|
Object Detection (SP)
|
100% |
2842
225.4 IPS |
|
|
Object Detection (HP)
|
100% |
991
78.6 IPS |
|
|
Object Detection (Q)
|
88% |
3113
249.5 IPS |
|
|
Face Detection (SP)
|
100% |
3940
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
2216
26.3 IPS |
|
|
Face Detection (Q)
|
97% |
6103
72.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10960
84.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3865
29.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
12169
97.4 IPS |
|
|
Style Transfer (SP)
|
100% |
44585
57.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34868
44.8 IPS |
|
|
Style Transfer (Q)
|
98% |
39270
50.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4821
178.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3406
125.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6517
241.3 IPS |
|
|
Text Classification (SP)
|
100% |
2268
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
893
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
612
819.2 IPS |
|
|
Machine Translation (SP)
|
100% |
3574
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
904
15.6 IPS |
|
|
Machine Translation (Q)
|
60% |
3770
84.1 IPS |
