ASUS System Product Name
Geekbench AI Score
2097
Single Precision Score
1094
Half Precision Score
3574
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 05:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B450-PLUS II |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1816
337.7 IPS |
|
|
Image Classification (HP)
|
100% |
480
89.3 IPS |
|
|
Image Classification (Q)
|
96% |
3824
714.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1265
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
672
10.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
2240
36.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3367
3.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
2885
3.37 IPS |
|
|
Pose Estimation (Q)
|
86% |
7473
8.83 IPS |
|
|
Object Detection (SP)
|
100% |
1130
89.7 IPS |
|
|
Object Detection (HP)
|
100% |
446
35.4 IPS |
|
|
Object Detection (Q)
|
58% |
2592
283.2 IPS |
|
|
Face Detection (SP)
|
100% |
2199
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
1000
11.9 IPS |
|
|
Face Detection (Q)
|
96% |
4073
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3845
29.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1514
11.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
6987
55.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7663
9.85 IPS |
|
|
Style Transfer (HP)
|
100% |
7263
9.34 IPS |
|
|
Style Transfer (Q)
|
87% |
7707
10.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1549
57.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1394
51.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2357
87.3 IPS |
|
|
Text Classification (SP)
|
100% |
1231
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
639
853.2 IPS |
|
|
Text Classification (Q)
|
97% |
1371
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1528
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
608
10.5 IPS |
|
|
Machine Translation (Q)
|
68% |
2895
55.9 IPS |
