ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU603VV_GU603VV
Geekbench AI Score
11765
Single Precision Score
19192
Half Precision Score
8881
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | systemd |
| Upload Date | February 05 2025 02:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU603VV_GU603VV |
| Motherboard | ASUSTeK COMPUTER INC. GU603VV |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900H |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4390
816.4 IPS |
|
|
Image Classification (HP)
|
99% |
7127
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
3985
741.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
8371
135.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
11164
181.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7471
121.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
66562
77.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
166894
194.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
58536
68.5 IPS |
|
|
Object Detection (SP)
|
100% |
5696
451.8 IPS |
|
|
Object Detection (HP)
|
100% |
10055
797.6 IPS |
|
|
Object Detection (Q)
|
89% |
4756
380.7 IPS |
|
|
Face Detection (SP)
|
100% |
13391
159.1 IPS |
|
|
Face Detection (HP)
|
100% |
19948
237.0 IPS |
|
|
Face Detection (Q)
|
97% |
11046
131.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
27859
214.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
51727
398.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
22738
182.7 IPS |
|
|
Style Transfer (SP)
|
100% |
102569
131.9 IPS |
|
|
Style Transfer (HP)
|
100% |
250453
322.0 IPS |
|
|
Style Transfer (Q)
|
98% |
92317
119.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19230
710.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30898
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14493
536.7 IPS |
|
|
Text Classification (SP)
|
100% |
2050
2.74 KIPS |
|
|
Text Classification (HP)
|
99% |
2537
3.39 KIPS |
|
|
Text Classification (Q)
|
97% |
1129
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2419
41.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2507
43.2 IPS |
|
|
Machine Translation (Q)
|
60% |
971
21.7 IPS |
