ASUSTeK COMPUTER INC. ROG Zephyrus G16 GA605WI_GA605WI
Geekbench AI Score
19197
Single Precision Score
31787
Half Precision Score
14345
Quantized Score
Geekbench AI 1.1.0 Pro for Windows AVX2
Result Information
| User | Tycho |
| Upload Date | November 13 2024 06:26 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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% |
8170
1.52 KIPS |
|
|
Image Classification (HP)
|
99% |
12362
2.31 KIPS |
|
|
Image Classification (Q)
|
100% |
6954
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13801
223.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18523
300.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
12097
196.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
108548
126.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
301752
352.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
95333
111.6 IPS |
|
|
Object Detection (SP)
|
100% |
9126
723.8 IPS |
|
|
Object Detection (HP)
|
100% |
15814
1.25 KIPS |
|
|
Object Detection (Q)
|
88% |
7570
607.1 IPS |
|
|
Face Detection (SP)
|
100% |
19844
235.8 IPS |
|
|
Face Detection (HP)
|
100% |
33143
393.8 IPS |
|
|
Face Detection (Q)
|
97% |
15051
179.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
40452
311.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
81304
626.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
34255
275.2 IPS |
|
|
Style Transfer (SP)
|
100% |
176016
226.3 IPS |
|
|
Style Transfer (HP)
|
100% |
442023
568.2 IPS |
|
|
Style Transfer (Q)
|
98% |
156917
202.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36664
1.35 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50403
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26281
973.1 IPS |
|
|
Text Classification (SP)
|
100% |
3082
4.11 KIPS |
|
|
Text Classification (HP)
|
99% |
3908
5.22 KIPS |
|
|
Text Classification (Q)
|
97% |
1955
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3812
65.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4109
71.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1463
32.6 IPS |
