ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CR_GU605CR
Geekbench AI Score
22505
Single Precision Score
41048
Half Precision Score
17642
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | rrevi |
| Upload Date | January 15 2026 04:27 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605CR_GU605CR |
| Motherboard | ASUSTeK COMPUTER INC. GU605CR |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9035
1.68 KIPS |
|
|
Image Classification (HP)
|
100% |
16059
2.99 KIPS |
|
|
Image Classification (Q)
|
100% |
8229
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16644
269.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
24320
394.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
15351
249.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
114946
134.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
399651
466.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
115250
135.0 IPS |
|
|
Object Detection (SP)
|
100% |
11896
943.6 IPS |
|
|
Object Detection (HP)
|
100% |
19398
1.54 KIPS |
|
|
Object Detection (Q)
|
83% |
10299
832.1 IPS |
|
|
Face Detection (SP)
|
100% |
31839
378.3 IPS |
|
|
Face Detection (HP)
|
100% |
48189
572.6 IPS |
|
|
Face Detection (Q)
|
97% |
27850
332.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
57494
443.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
113317
873.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
46531
371.4 IPS |
|
|
Style Transfer (SP)
|
100% |
194294
249.8 IPS |
|
|
Style Transfer (HP)
|
100% |
629755
809.6 IPS |
|
|
Style Transfer (Q)
|
98% |
165584
213.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31713
1.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59837
2.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24345
901.5 IPS |
|
|
Text Classification (SP)
|
100% |
3045
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4142
5.53 KIPS |
|
|
Text Classification (Q)
|
97% |
2057
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4721
81.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5263
90.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1813
34.0 IPS |
