ASUSTeK COMPUTER INC. ROG Zephyrus M16 GU604VI_GU604VI
Geekbench AI Score
17448
Single Precision Score
29687
Half Precision Score
13462
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 18 2025 04:44 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 M16 GU604VI_GU604VI |
| Motherboard | ASUSTeK COMPUTER INC. GU604VI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6759
1.26 KIPS |
|
|
Image Classification (HP)
|
99% |
12168
2.27 KIPS |
|
|
Image Classification (Q)
|
100% |
6297
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13422
217.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
17857
289.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
10948
178.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
100368
117.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
272417
317.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
87195
102.2 IPS |
|
|
Object Detection (SP)
|
100% |
8215
651.6 IPS |
|
|
Object Detection (HP)
|
100% |
13817
1.10 KIPS |
|
|
Object Detection (Q)
|
85% |
6929
557.8 IPS |
|
|
Face Detection (SP)
|
100% |
17951
213.3 IPS |
|
|
Face Detection (HP)
|
100% |
32611
387.5 IPS |
|
|
Face Detection (Q)
|
97% |
17211
205.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
41743
321.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
82114
632.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
34352
274.5 IPS |
|
|
Style Transfer (SP)
|
100% |
156951
201.8 IPS |
|
|
Style Transfer (HP)
|
100% |
400733
515.1 IPS |
|
|
Style Transfer (Q)
|
98% |
147597
190.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32540
1.20 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44887
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23222
859.9 IPS |
|
|
Text Classification (SP)
|
100% |
2885
3.85 KIPS |
|
|
Text Classification (HP)
|
99% |
3705
4.95 KIPS |
|
|
Text Classification (Q)
|
97% |
1564
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3167
54.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3643
63.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1481
27.8 IPS |
