ASUSTeK COMPUTER INC. ROG Strix G614JU_G614JU
Geekbench AI Score
14724
Single Precision Score
26420
Half Precision Score
11618
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 14 2025 03:34 PM |
| Views | 2 |
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 | Silent |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13980HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4887
908.9 IPS |
|
|
Image Classification (HP)
|
99% |
10640
1.98 KIPS |
|
|
Image Classification (Q)
|
99% |
5305
989.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
10565
171.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15359
249.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9518
154.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
68894
80.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
219130
255.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
59763
70.0 IPS |
|
|
Object Detection (SP)
|
100% |
7736
613.6 IPS |
|
|
Object Detection (HP)
|
100% |
13557
1.08 KIPS |
|
|
Object Detection (Q)
|
84% |
6681
538.8 IPS |
|
|
Face Detection (SP)
|
100% |
16960
201.5 IPS |
|
|
Face Detection (HP)
|
100% |
30710
364.9 IPS |
|
|
Face Detection (Q)
|
97% |
15208
181.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
33946
261.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
69997
539.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
28094
224.7 IPS |
|
|
Style Transfer (SP)
|
100% |
114572
147.3 IPS |
|
|
Style Transfer (HP)
|
100% |
286317
368.1 IPS |
|
|
Style Transfer (Q)
|
98% |
103410
133.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24539
906.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38834
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17293
640.3 IPS |
|
|
Text Classification (SP)
|
100% |
3008
4.01 KIPS |
|
|
Text Classification (HP)
|
99% |
3739
4.99 KIPS |
|
|
Text Classification (Q)
|
97% |
1703
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3576
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3820
65.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1708
32.0 IPS |
