ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA402XV_GA402XV
Geekbench ML Score
12617
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 05:52 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA402XV_GA402XV |
| Motherboard | ASUSTeK COMPUTER INC. GA402XV |
| 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6201
1.16 KIPS |
|
|
Image Classification (F16)
|
100% |
6225
1.16 KIPS |
|
|
Image Classification (I8)
|
100% |
5637
1.05 KIPS |
|
|
Image Segmentation (F32)
|
100% |
8814
147.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
8750
146.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
8101
135.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
76545
92.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
75782
91.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
67989
82.3 IPS |
|
|
Object Detection (F32)
|
100% |
4517
337.2 IPS |
|
|
Object Detection (F16)
|
100% |
4355
325.1 IPS |
|
|
Object Detection (I8)
|
61% |
4258
317.9 IPS |
|
|
Face Detection (F32)
|
100% |
16324
194.1 IPS |
|
|
Face Detection (F16)
|
100% |
16558
196.9 IPS |
|
|
Face Detection (I8)
|
89% |
14130
168.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
35783
277.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
30757
238.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
31321
242.9 IPS |
|
|
Style Transfer (F32)
|
100% |
133250
175.3 IPS |
|
|
Style Transfer (F16)
|
100% |
116788
153.6 IPS |
|
|
Style Transfer (I8)
|
98% |
106905
140.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23756
848.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23820
850.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17450
623.2 IPS |
|
|
Text Classification (F32)
|
100% |
2178
3.13 KIPS |
|
|
Text Classification (F16)
|
100% |
2175
3.13 KIPS |
|
|
Text Classification (I8)
|
98% |
1357
1.95 KIPS |
|
|
Machine Translation (F32)
|
100% |
3074
56.6 IPS |
|
|
Machine Translation (F16)
|
100% |
3055
56.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1826
33.6 IPS |
