ASUSTeK COMPUTER INC. ROG Zephyrus G16 GA605WV_GA605WV
Geekbench ML Score
1931
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | September 24 2024 11:58 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Gentoo Linux |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GA605WV_GA605WV |
| Motherboard | ASUSTeK COMPUTER INC. GA605WV |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 4.37 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 1.00 MB x 12 |
| L3 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 30.47 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1492
279.2 IPS |
|
|
Image Classification (F16)
|
100% |
1490
278.8 IPS |
|
|
Image Classification (I8)
|
99% |
1264
236.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
2334
39.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1988
33.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
939
15.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
2700
3.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
2631
3.19 IPS |
|
|
Pose Estimation (I8)
|
100% |
3356
4.06 IPS |
|
|
Object Detection (F32)
|
100% |
1588
118.5 IPS |
|
|
Object Detection (F16)
|
100% |
1572
117.3 IPS |
|
|
Object Detection (I8)
|
65% |
1323
98.8 IPS |
|
|
Face Detection (F32)
|
100% |
2675
31.8 IPS |
|
|
Face Detection (F16)
|
100% |
2690
32.0 IPS |
|
|
Face Detection (I8)
|
87% |
2447
29.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
2515
19.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2501
19.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
2458
19.1 IPS |
|
|
Style Transfer (F32)
|
100% |
3603
4.74 IPS |
|
|
Style Transfer (F16)
|
100% |
3448
4.54 IPS |
|
|
Style Transfer (I8)
|
98% |
5988
7.88 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1866
66.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1840
65.7 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1635
58.4 IPS |
|
|
Text Classification (F32)
|
100% |
1062
1.53 KIPS |
|
|
Text Classification (F16)
|
100% |
981
1.41 KIPS |
|
|
Text Classification (I8)
|
92% |
585
841.4 IPS |
|
|
Machine Translation (F32)
|
100% |
2801
51.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2631
48.4 IPS |
|
|
Machine Translation (I8)
|
62% |
768
14.1 IPS |
