ASUS System Product Name
Geekbench AI Score
2816
Single Precision Score
1442
Half Precision Score
3469
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | stan115 |
| Upload Date | November 04 2024 11:07 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1796
334.0 IPS |
|
|
Image Classification (HP)
|
100% |
543
101.0 IPS |
|
|
Image Classification (Q)
|
96% |
3069
573.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1457
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
860
13.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
2419
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5108
5.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
4305
5.02 IPS |
|
|
Pose Estimation (Q)
|
87% |
10048
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1985
157.5 IPS |
|
|
Object Detection (HP)
|
100% |
703
55.8 IPS |
|
|
Object Detection (Q)
|
86% |
1866
150.0 IPS |
|
|
Face Detection (SP)
|
100% |
2087
24.8 IPS |
|
|
Face Detection (HP)
|
100% |
1365
16.2 IPS |
|
|
Face Detection (Q)
|
96% |
3490
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5643
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2166
16.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
5290
42.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11990
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10629
13.7 IPS |
|
|
Style Transfer (Q)
|
87% |
13776
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2253
83.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1979
73.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2570
95.2 IPS |
|
|
Text Classification (SP)
|
100% |
1763
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
703
938.5 IPS |
|
|
Text Classification (Q)
|
97% |
1452
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2111
36.4 IPS |
|
|
Machine Translation (HP)
|
100% |
631
10.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1914
42.7 IPS |
