ASUSTeK COMPUTER INC. ROG Zephyrus G16 GA605WI_GA605WI
Geekbench AI Score
19506
Single Precision Score
32095
Half Precision Score
14862
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | skikitt |
| Upload Date | October 25 2024 07:16 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GA605WI_GA605WI |
| Motherboard | ASUSTeK COMPUTER INC. GA605WI |
| Power Plan | Turbo |
| 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 | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8068
1.50 KIPS |
|
|
Image Classification (HP)
|
99% |
12382
2.31 KIPS |
|
|
Image Classification (Q)
|
100% |
6874
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14253
231.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18607
301.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
12870
209.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
112539
131.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
306579
357.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
97753
114.5 IPS |
|
|
Object Detection (SP)
|
100% |
9312
738.6 IPS |
|
|
Object Detection (HP)
|
100% |
15823
1.26 KIPS |
|
|
Object Detection (Q)
|
88% |
7830
627.9 IPS |
|
|
Face Detection (SP)
|
100% |
20620
245.0 IPS |
|
|
Face Detection (HP)
|
100% |
34650
411.7 IPS |
|
|
Face Detection (Q)
|
97% |
17547
209.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
43679
336.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
82387
634.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
34638
278.3 IPS |
|
|
Style Transfer (SP)
|
100% |
174905
224.8 IPS |
|
|
Style Transfer (HP)
|
100% |
451121
579.9 IPS |
|
|
Style Transfer (Q)
|
98% |
160723
207.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35072
1.30 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50045
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26509
981.6 IPS |
|
|
Text Classification (SP)
|
100% |
3113
4.16 KIPS |
|
|
Text Classification (HP)
|
99% |
3964
5.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1919
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3849
66.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4062
70.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1563
34.9 IPS |
