ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MI_GU605MI
Geekbench AI Score
18196
Single Precision Score
28863
Half Precision Score
14461
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | AndrewReynosa |
| Upload Date | January 06 2025 11:08 PM |
| Views | 2 |
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 GU605MI_GU605MI |
| Motherboard | ASUSTeK COMPUTER INC. GU605MI |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7247
1.35 KIPS |
|
|
Image Classification (HP)
|
99% |
11793
2.20 KIPS |
|
|
Image Classification (Q)
|
100% |
6725
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12108
196.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15242
247.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11040
179.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
104411
121.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
293799
342.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
93653
109.7 IPS |
|
|
Object Detection (SP)
|
100% |
8718
691.5 IPS |
|
|
Object Detection (HP)
|
100% |
13672
1.08 KIPS |
|
|
Object Detection (Q)
|
85% |
7714
621.0 IPS |
|
|
Face Detection (SP)
|
100% |
21541
255.9 IPS |
|
|
Face Detection (HP)
|
100% |
31865
378.6 IPS |
|
|
Face Detection (Q)
|
97% |
19288
230.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
43877
338.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
81207
625.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
36031
288.0 IPS |
|
|
Style Transfer (SP)
|
100% |
176420
226.8 IPS |
|
|
Style Transfer (HP)
|
100% |
420402
540.4 IPS |
|
|
Style Transfer (Q)
|
98% |
157749
203.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32298
1.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45179
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23844
882.9 IPS |
|
|
Text Classification (SP)
|
100% |
2793
3.73 KIPS |
|
|
Text Classification (HP)
|
99% |
3276
4.37 KIPS |
|
|
Text Classification (Q)
|
97% |
1681
2.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3312
57.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3452
59.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1697
31.8 IPS |
