ASUS System Product Name
Geekbench AI Score
2658
Single Precision Score
1274
Half Precision Score
5643
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 22 2024 11:39 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 8600G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650-E WIFI |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.35 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2313
430.2 IPS |
|
|
Image Classification (HP)
|
100% |
544
101.2 IPS |
|
|
Image Classification (Q)
|
99% |
6751
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1366
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
734
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3446
56.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3361
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2986
3.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
16424
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2563
203.3 IPS |
|
|
Object Detection (HP)
|
100% |
684
54.3 IPS |
|
|
Object Detection (Q)
|
86% |
6188
497.3 IPS |
|
|
Face Detection (SP)
|
100% |
4510
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
1499
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
8694
103.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5039
38.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1924
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
6337
50.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8201
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
7779
10.00 IPS |
|
|
Style Transfer (Q)
|
98% |
20694
26.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1525
56.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1423
52.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2992
110.8 IPS |
|
|
Text Classification (SP)
|
100% |
1316
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
675
900.8 IPS |
|
|
Text Classification (Q)
|
97% |
1626
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1730
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
642
11.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2501
50.3 IPS |
