ASUS System Product Name
Geekbench AI Score
2223
Single Precision Score
1118
Half Precision Score
5213
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 08:10 AM |
| Views | 2 |
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. PRIME B650M-A AX II |
| Power Plan | Balanced |
| 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% |
1668
310.3 IPS |
|
|
Image Classification (HP)
|
100% |
411
76.5 IPS |
|
|
Image Classification (Q)
|
99% |
5502
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
985
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
580
9.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
2801
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3071
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
2755
3.21 IPS |
|
|
Pose Estimation (Q)
|
94% |
14993
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.6 IPS |
|
|
Object Detection (HP)
|
100% |
556
44.1 IPS |
|
|
Object Detection (Q)
|
86% |
5643
453.5 IPS |
|
|
Face Detection (SP)
|
100% |
4056
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
1357
16.1 IPS |
|
|
Face Detection (Q)
|
97% |
7761
92.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4047
31.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1760
13.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
6352
50.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7563
9.72 IPS |
|
|
Style Transfer (HP)
|
100% |
7049
9.06 IPS |
|
|
Style Transfer (Q)
|
98% |
19813
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1443
53.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1353
50.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2855
105.7 IPS |
|
|
Text Classification (SP)
|
100% |
1229
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
628
838.9 IPS |
|
|
Text Classification (Q)
|
97% |
1598
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1675
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
586
10.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2551
51.3 IPS |
