ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA617XS_FA617XS
Geekbench ML Score
5022
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 02 2024 06:48 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA617XS_FA617XS |
| Motherboard | ASUSTeK COMPUTER INC. FA617XS |
| Power Plan | Balanced |
| 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 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2153
403.0 IPS |
|
|
Image Classification (F16)
|
100% |
2127
398.0 IPS |
|
|
Image Classification (I8)
|
100% |
1836
343.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
2852
47.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2825
47.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
2330
38.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
37721
45.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
37754
45.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
27216
33.0 IPS |
|
|
Object Detection (F32)
|
100% |
1754
130.9 IPS |
|
|
Object Detection (F16)
|
100% |
1753
130.9 IPS |
|
|
Object Detection (I8)
|
62% |
1673
124.9 IPS |
|
|
Face Detection (F32)
|
100% |
4639
55.2 IPS |
|
|
Face Detection (F16)
|
100% |
4592
54.6 IPS |
|
|
Face Detection (I8)
|
89% |
3527
41.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
14833
115.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
15069
116.9 IPS |
|
|
Depth Estimation (I8)
|
94% |
11533
89.4 IPS |
|
|
Style Transfer (F32)
|
100% |
32373
42.6 IPS |
|
|
Style Transfer (F16)
|
100% |
33803
44.5 IPS |
|
|
Style Transfer (I8)
|
98% |
27600
36.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5622
200.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5915
211.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4139
147.8 IPS |
|
|
Text Classification (F32)
|
100% |
1766
2.54 KIPS |
|
|
Text Classification (F16)
|
100% |
1757
2.52 KIPS |
|
|
Text Classification (I8)
|
98% |
1437
2.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
2481
45.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2482
45.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1534
28.2 IPS |
