ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA617XT_FA617XT
Geekbench ML Score
5060
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 22 2024 04:50 AM |
| Views | 1 |
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% |
2420
452.9 IPS |
|
|
Image Classification (F16)
|
100% |
2427
454.1 IPS |
|
|
Image Classification (I8)
|
100% |
1991
372.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2609
43.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2596
43.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2150
35.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
38571
46.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
36068
43.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
26699
32.3 IPS |
|
|
Object Detection (F32)
|
100% |
1911
142.7 IPS |
|
|
Object Detection (F16)
|
100% |
1861
138.9 IPS |
|
|
Object Detection (I8)
|
62% |
1749
130.6 IPS |
|
|
Face Detection (F32)
|
100% |
4510
53.6 IPS |
|
|
Face Detection (F16)
|
100% |
4493
53.4 IPS |
|
|
Face Detection (I8)
|
89% |
3459
41.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
14613
113.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
14568
113.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
12011
93.1 IPS |
|
|
Style Transfer (F32)
|
100% |
35749
47.0 IPS |
|
|
Style Transfer (F16)
|
100% |
39346
51.8 IPS |
|
|
Style Transfer (I8)
|
98% |
32964
43.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5959
212.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5879
209.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4290
153.2 IPS |
|
|
Text Classification (F32)
|
100% |
1540
2.21 KIPS |
|
|
Text Classification (F16)
|
100% |
1354
1.95 KIPS |
|
|
Text Classification (I8)
|
98% |
1369
1.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
2479
45.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2477
45.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1553
28.6 IPS |
