ASUS ROG Strix G16 ASUSTeK COMPUTER INC. ROG Strix G614JU_G614JU
Geekbench AI Score
14043
Single Precision Score
23675
Half Precision Score
11088
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | March 21 2025 10:56 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G614JU_G614JU |
| Motherboard | ASUSTeK COMPUTER INC. G614JU |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13650HX |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5926
1.10 KIPS |
|
|
Image Classification (HP)
|
99% |
10720
2.00 KIPS |
|
|
Image Classification (Q)
|
99% |
5338
995.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
8595
139.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
11265
182.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7949
129.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
70117
81.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
198674
231.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
61504
72.1 IPS |
|
|
Object Detection (SP)
|
100% |
7220
572.7 IPS |
|
|
Object Detection (HP)
|
100% |
12451
987.6 IPS |
|
|
Object Detection (Q)
|
84% |
6172
497.8 IPS |
|
|
Face Detection (SP)
|
100% |
15534
184.6 IPS |
|
|
Face Detection (HP)
|
100% |
24218
287.8 IPS |
|
|
Face Detection (Q)
|
97% |
13996
166.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
31115
239.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
65165
502.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
26183
209.5 IPS |
|
|
Style Transfer (SP)
|
100% |
114871
147.7 IPS |
|
|
Style Transfer (HP)
|
100% |
281688
362.1 IPS |
|
|
Style Transfer (Q)
|
98% |
104684
135.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24262
895.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39694
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17546
649.7 IPS |
|
|
Text Classification (SP)
|
100% |
3178
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
3717
4.96 KIPS |
|
|
Text Classification (Q)
|
97% |
1739
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2703
46.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2824
48.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1491
28.0 IPS |
