ASUSTeK COMPUTER INC. ProArt P16 H7606WI_H7606WI
Geekbench AI Score
19258
Single Precision Score
33883
Half Precision Score
14619
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 09 2025 08:04 AM |
| Views | 3 |
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% |
8529
1.59 KIPS |
|
|
Image Classification (HP)
|
99% |
14860
2.77 KIPS |
|
|
Image Classification (Q)
|
100% |
7692
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14802
239.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20841
337.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13092
212.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
83515
97.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
248332
289.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
77153
90.4 IPS |
|
|
Object Detection (SP)
|
100% |
9098
721.7 IPS |
|
|
Object Detection (HP)
|
100% |
18067
1.43 KIPS |
|
|
Object Detection (Q)
|
85% |
8366
673.5 IPS |
|
|
Face Detection (SP)
|
100% |
22503
267.4 IPS |
|
|
Face Detection (HP)
|
100% |
41096
488.3 IPS |
|
|
Face Detection (Q)
|
97% |
18960
226.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
36170
278.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
83227
643.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
29538
237.2 IPS |
|
|
Style Transfer (SP)
|
100% |
169306
217.6 IPS |
|
|
Style Transfer (HP)
|
100% |
428672
551.1 IPS |
|
|
Style Transfer (Q)
|
98% |
143657
185.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37509
1.39 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52435
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24406
903.7 IPS |
|
|
Text Classification (SP)
|
100% |
3381
4.51 KIPS |
|
|
Text Classification (HP)
|
99% |
4203
5.61 KIPS |
|
|
Text Classification (Q)
|
97% |
2043
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4186
72.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4443
76.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1710
32.1 IPS |
