ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506II_FA506II
Geekbench ML Score
1489
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | September 01 2024 11:51 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506II_FA506II |
| Motherboard | ASUSTeK COMPUTER INC. FA506II |
| Power Plan | ASUS Recommended |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 4600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 4.00 MB x 2 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
743
139.0 IPS |
|
|
Image Classification (F16)
|
100% |
843
157.8 IPS |
|
|
Image Classification (I8)
|
97% |
1077
201.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
538
8.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
534
8.92 IPS |
|
|
Image Segmentation (I8)
|
97% |
1115
18.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
3237
3.92 IPS |
|
|
Pose Estimation (F16)
|
100% |
3323
4.02 IPS |
|
|
Pose Estimation (I8)
|
100% |
4541
5.50 IPS |
|
|
Object Detection (F32)
|
100% |
752
56.1 IPS |
|
|
Object Detection (F16)
|
100% |
853
63.7 IPS |
|
|
Object Detection (I8)
|
60% |
794
59.3 IPS |
|
|
Face Detection (F32)
|
100% |
948
11.3 IPS |
|
|
Face Detection (F16)
|
100% |
950
11.3 IPS |
|
|
Face Detection (I8)
|
87% |
1690
20.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
3078
23.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
3346
25.9 IPS |
|
|
Depth Estimation (I8)
|
74% |
4297
33.3 IPS |
|
|
Style Transfer (F32)
|
100% |
7936
10.4 IPS |
|
|
Style Transfer (F16)
|
100% |
7945
10.5 IPS |
|
|
Style Transfer (I8)
|
85% |
6094
8.02 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1458
52.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1493
53.3 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1535
54.8 IPS |
|
|
Text Classification (F32)
|
100% |
1010
1.45 KIPS |
|
|
Text Classification (F16)
|
100% |
1005
1.44 KIPS |
|
|
Text Classification (I8)
|
94% |
317
455.0 IPS |
|
|
Machine Translation (F32)
|
100% |
972
17.9 IPS |
|
|
Machine Translation (F16)
|
100% |
969
17.8 IPS |
|
|
Machine Translation (I8)
|
67% |
1092
20.1 IPS |
