ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA402XV_GA402XV
Geekbench ML Score
1958
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | August 15 2024 05:45 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04 LTS |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA402XV_GA402XV |
| Motherboard | ASUSTeK COMPUTER INC. GA402XV |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 5.42 GHz |
| Cluster 1 | 0 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 | 14.85 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1704
318.8 IPS |
|
|
Image Classification (F16)
|
100% |
1729
323.5 IPS |
|
|
Image Classification (I8)
|
99% |
1377
257.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2335
39.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2347
39.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1233
20.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
2067
2.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
2058
2.49 IPS |
|
|
Pose Estimation (I8)
|
100% |
3710
4.49 IPS |
|
|
Object Detection (F32)
|
100% |
1786
133.4 IPS |
|
|
Object Detection (F16)
|
100% |
1851
138.2 IPS |
|
|
Object Detection (I8)
|
65% |
1317
98.3 IPS |
|
|
Face Detection (F32)
|
100% |
2006
23.9 IPS |
|
|
Face Detection (F16)
|
100% |
1972
23.5 IPS |
|
|
Face Detection (I8)
|
87% |
2587
30.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2072
16.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
2066
16.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
2683
20.8 IPS |
|
|
Style Transfer (F32)
|
100% |
2162
2.84 IPS |
|
|
Style Transfer (F16)
|
100% |
2155
2.84 IPS |
|
|
Style Transfer (I8)
|
98% |
5574
7.33 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1949
69.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1946
69.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1908
68.1 IPS |
|
|
Text Classification (F32)
|
100% |
2158
3.10 KIPS |
|
|
Text Classification (F16)
|
100% |
2185
3.14 KIPS |
|
|
Text Classification (I8)
|
92% |
903
1.30 KIPS |
|
|
Machine Translation (F32)
|
100% |
1832
33.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1803
33.2 IPS |
|
|
Machine Translation (I8)
|
62% |
973
17.9 IPS |
