ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA617XT_FA617XT
Geekbench ML Score
5326
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 22 2024 04:48 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA617XT_FA617XT |
| Motherboard | ASUSTeK COMPUTER INC. FA617XT |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2734
511.6 IPS |
|
|
Image Classification (F16)
|
100% |
2687
502.8 IPS |
|
|
Image Classification (I8)
|
100% |
2307
431.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2691
44.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2682
44.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2260
37.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
39089
47.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
39095
47.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
27194
32.9 IPS |
|
|
Object Detection (F32)
|
100% |
2081
155.4 IPS |
|
|
Object Detection (F16)
|
100% |
2103
157.0 IPS |
|
|
Object Detection (I8)
|
62% |
1921
143.4 IPS |
|
|
Face Detection (F32)
|
100% |
4865
57.8 IPS |
|
|
Face Detection (F16)
|
100% |
4826
57.4 IPS |
|
|
Face Detection (I8)
|
89% |
3701
44.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
16207
125.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
16074
124.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
12239
94.9 IPS |
|
|
Style Transfer (F32)
|
100% |
32723
43.0 IPS |
|
|
Style Transfer (F16)
|
100% |
32584
42.9 IPS |
|
|
Style Transfer (I8)
|
98% |
31688
41.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6071
216.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5981
213.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4504
160.8 IPS |
|
|
Text Classification (F32)
|
100% |
1597
2.29 KIPS |
|
|
Text Classification (F16)
|
100% |
1644
2.36 KIPS |
|
|
Text Classification (I8)
|
98% |
1400
2.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
2639
48.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2654
48.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1633
30.1 IPS |
