ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA617XS_FA617XS
Geekbench ML Score
4984
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 02 2024 07:10 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% |
1926
360.3 IPS |
|
|
Image Classification (F16)
|
100% |
2031
380.0 IPS |
|
|
Image Classification (I8)
|
100% |
1701
318.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2826
47.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2835
47.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2310
38.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
36625
44.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
36359
44.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
27284
33.0 IPS |
|
|
Object Detection (F32)
|
100% |
1760
131.4 IPS |
|
|
Object Detection (F16)
|
100% |
1741
130.0 IPS |
|
|
Object Detection (I8)
|
62% |
1673
124.9 IPS |
|
|
Face Detection (F32)
|
100% |
4679
55.6 IPS |
|
|
Face Detection (F16)
|
100% |
4639
55.2 IPS |
|
|
Face Detection (I8)
|
89% |
3514
41.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
14626
113.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
15195
117.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
11495
89.1 IPS |
|
|
Style Transfer (F32)
|
100% |
33829
44.5 IPS |
|
|
Style Transfer (F16)
|
100% |
32349
42.6 IPS |
|
|
Style Transfer (I8)
|
98% |
28225
37.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6087
217.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5927
211.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4088
146.0 IPS |
|
|
Text Classification (F32)
|
100% |
1781
2.56 KIPS |
|
|
Text Classification (F16)
|
100% |
1755
2.52 KIPS |
|
|
Text Classification (I8)
|
98% |
1385
1.99 KIPS |
|
|
Machine Translation (F32)
|
100% |
2495
45.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2528
46.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1529
28.1 IPS |
