ASUS System Product Name
Geekbench AI Score
2371
Single Precision Score
1185
Half Precision Score
2938
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 07:42 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-A GAMING |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1153
214.5 IPS |
|
|
Image Classification (HP)
|
100% |
393
73.1 IPS |
|
|
Image Classification (Q)
|
96% |
2778
518.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1488
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
633
10.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
2096
34.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5971
6.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
4579
5.34 IPS |
|
|
Pose Estimation (Q)
|
87% |
15011
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1354
107.4 IPS |
|
|
Object Detection (HP)
|
100% |
515
40.8 IPS |
|
|
Object Detection (Q)
|
86% |
1444
116.1 IPS |
|
|
Face Detection (SP)
|
100% |
1925
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
1115
13.2 IPS |
|
|
Face Detection (Q)
|
96% |
3083
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5025
38.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1855
14.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
5132
41.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13814
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12424
16.0 IPS |
|
|
Style Transfer (Q)
|
87% |
13654
17.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1669
61.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1481
54.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2621
97.1 IPS |
|
|
Text Classification (SP)
|
100% |
1149
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
483
644.6 IPS |
|
|
Text Classification (Q)
|
97% |
382
512.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1584
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
507
8.73 IPS |
|
|
Machine Translation (Q)
|
60% |
1761
39.3 IPS |
