ASUS System Product Name
Geekbench AI Score
6532
Single Precision Score
1417
Half Precision Score
7431
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | audigy |
| Upload Date | August 31 2024 07:14 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3984
740.8 IPS |
|
|
Image Classification (HP)
|
100% |
235
43.7 IPS |
|
|
Image Classification (Q)
|
99% |
8324
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2728
44.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
410
6.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
3192
51.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13295
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
9665
11.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
42931
50.3 IPS |
|
|
Object Detection (SP)
|
100% |
4516
358.2 IPS |
|
|
Object Detection (HP)
|
100% |
333
26.4 IPS |
|
|
Object Detection (Q)
|
88% |
4464
357.8 IPS |
|
|
Face Detection (SP)
|
100% |
5972
71.0 IPS |
|
|
Face Detection (HP)
|
100% |
493
5.85 IPS |
|
|
Face Detection (Q)
|
97% |
7589
90.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14015
108.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1582
12.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
17343
139.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28711
36.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22527
29.0 IPS |
|
|
Style Transfer (Q)
|
98% |
40915
52.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5699
210.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4679
172.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7219
267.3 IPS |
|
|
Text Classification (SP)
|
100% |
3413
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
1234
1.65 KIPS |
|
|
Text Classification (Q)
|
97% |
657
879.4 IPS |
|
|
Machine Translation (SP)
|
100% |
4641
79.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1042
17.9 IPS |
|
|
Machine Translation (Q)
|
60% |
3953
88.2 IPS |
