ASUSTeK COMPUTER INC. ProArt P16 H7606WI_H7606WI
Geekbench AI Score
18472
Single Precision Score
33775
Half Precision Score
14131
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 01 2025 09:57 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 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ProArt P16 H7606WI_H7606WI |
| Motherboard | ASUSTeK COMPUTER INC. H7606WI |
| Power Plan | Whisper |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8280
1.54 KIPS |
|
|
Image Classification (HP)
|
99% |
14649
2.73 KIPS |
|
|
Image Classification (Q)
|
100% |
7587
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14370
232.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20834
337.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
12734
207.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
83879
97.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
248777
290.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
77177
90.4 IPS |
|
|
Object Detection (SP)
|
100% |
9246
733.4 IPS |
|
|
Object Detection (HP)
|
100% |
18043
1.43 KIPS |
|
|
Object Detection (Q)
|
85% |
8020
645.6 IPS |
|
|
Face Detection (SP)
|
100% |
19673
233.8 IPS |
|
|
Face Detection (HP)
|
100% |
41857
497.4 IPS |
|
|
Face Detection (Q)
|
97% |
17596
209.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
36991
285.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
80911
625.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
27716
222.6 IPS |
|
|
Style Transfer (SP)
|
100% |
153112
196.8 IPS |
|
|
Style Transfer (HP)
|
100% |
463808
596.2 IPS |
|
|
Style Transfer (Q)
|
98% |
143055
184.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34598
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50484
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22731
841.7 IPS |
|
|
Text Classification (SP)
|
100% |
3274
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
4083
5.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1985
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3973
68.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4356
75.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1687
31.6 IPS |
