ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506II_FA506II
Geekbench ML Score
4289
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | September 01 2024 11:59 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 | DirectML |
| Device | NVIDIA GeForce GTX 1650 Ti |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2198
411.2 IPS |
|
|
Image Classification (F16)
|
100% |
2193
410.4 IPS |
|
|
Image Classification (I8)
|
100% |
1876
351.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2735
45.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2864
47.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2675
44.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
15497
18.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
15526
18.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
14415
17.5 IPS |
|
|
Object Detection (F32)
|
100% |
1945
145.2 IPS |
|
|
Object Detection (F16)
|
100% |
1946
145.3 IPS |
|
|
Object Detection (I8)
|
60% |
1727
128.9 IPS |
|
|
Face Detection (F32)
|
100% |
5067
60.2 IPS |
|
|
Face Detection (F16)
|
100% |
5076
60.4 IPS |
|
|
Face Detection (I8)
|
89% |
4371
52.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
10798
83.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
10726
83.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
9255
71.8 IPS |
|
|
Style Transfer (F32)
|
100% |
31468
41.4 IPS |
|
|
Style Transfer (F16)
|
100% |
31712
41.7 IPS |
|
|
Style Transfer (I8)
|
98% |
28284
37.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7482
267.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5427
193.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4269
152.5 IPS |
|
|
Text Classification (F32)
|
100% |
1223
1.76 KIPS |
|
|
Text Classification (F16)
|
100% |
1511
2.17 KIPS |
|
|
Text Classification (I8)
|
98% |
860
1.24 KIPS |
|
|
Machine Translation (F32)
|
100% |
1559
28.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1552
28.6 IPS |
|
|
Machine Translation (I8)
|
70% |
966
17.8 IPS |
