ASUS System Product Name
Geekbench AI Score
2440
Single Precision Score
1168
Half Precision Score
2963
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 21 2024 12:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B550M-PLUS |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1457
271.0 IPS |
|
|
Image Classification (HP)
|
100% |
434
80.7 IPS |
|
|
Image Classification (Q)
|
96% |
3080
575.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1456
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
680
11.0 IPS |
|
|
Image Segmentation (Q)
|
97% |
1833
29.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3791
4.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
3236
3.78 IPS |
|
|
Pose Estimation (Q)
|
87% |
9397
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1590
126.1 IPS |
|
|
Object Detection (HP)
|
100% |
550
43.6 IPS |
|
|
Object Detection (Q)
|
86% |
1629
131.0 IPS |
|
|
Face Detection (SP)
|
100% |
2555
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
1293
15.4 IPS |
|
|
Face Detection (Q)
|
96% |
3680
43.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4674
36.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1725
13.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
5441
43.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10311
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8146
10.5 IPS |
|
|
Style Transfer (Q)
|
87% |
14065
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1776
65.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1556
57.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2804
103.9 IPS |
|
|
Text Classification (SP)
|
100% |
1439
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
579
772.7 IPS |
|
|
Text Classification (Q)
|
97% |
385
516.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1861
32.1 IPS |
|
|
Machine Translation (HP)
|
100% |
553
9.52 IPS |
|
|
Machine Translation (Q)
|
60% |
1990
44.4 IPS |
