ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA617XS_FA617XS
Geekbench ML Score
4992
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 02 2024 07:07 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% |
2229
417.2 IPS |
|
|
Image Classification (F16)
|
100% |
2002
374.6 IPS |
|
|
Image Classification (I8)
|
100% |
1937
362.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
2765
46.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2837
47.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2348
39.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
38180
46.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
37972
46.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
26689
32.3 IPS |
|
|
Object Detection (F32)
|
100% |
1777
132.7 IPS |
|
|
Object Detection (F16)
|
100% |
1760
131.4 IPS |
|
|
Object Detection (I8)
|
62% |
1643
122.7 IPS |
|
|
Face Detection (F32)
|
100% |
4559
54.2 IPS |
|
|
Face Detection (F16)
|
100% |
4396
52.3 IPS |
|
|
Face Detection (I8)
|
89% |
3591
42.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
14521
112.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
14813
114.9 IPS |
|
|
Depth Estimation (I8)
|
94% |
11708
90.8 IPS |
|
|
Style Transfer (F32)
|
100% |
32649
42.9 IPS |
|
|
Style Transfer (F16)
|
100% |
32237
42.4 IPS |
|
|
Style Transfer (I8)
|
98% |
27260
35.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6003
214.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5880
210.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4010
143.2 IPS |
|
|
Text Classification (F32)
|
100% |
1775
2.55 KIPS |
|
|
Text Classification (F16)
|
100% |
1672
2.40 KIPS |
|
|
Text Classification (I8)
|
98% |
1389
2.00 KIPS |
|
|
Machine Translation (F32)
|
100% |
2466
45.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2420
44.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1556
28.6 IPS |
