ASUSTeK COMPUTER INC. ROG Strix G614JU_G614JU
Geekbench AI Score
15266
Single Precision Score
26989
Half Precision Score
11635
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 14 2025 03:49 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 | Turbo |
| 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% |
6057
1.13 KIPS |
|
|
Image Classification (HP)
|
99% |
11102
2.07 KIPS |
|
|
Image Classification (Q)
|
99% |
5462
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10898
176.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15481
251.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9681
157.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
71332
83.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
231358
270.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
62826
73.6 IPS |
|
|
Object Detection (SP)
|
100% |
7032
557.8 IPS |
|
|
Object Detection (HP)
|
100% |
14299
1.13 KIPS |
|
|
Object Detection (Q)
|
84% |
6476
522.3 IPS |
|
|
Face Detection (SP)
|
100% |
17247
204.9 IPS |
|
|
Face Detection (HP)
|
100% |
30322
360.3 IPS |
|
|
Face Detection (Q)
|
97% |
15267
182.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
33591
258.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
70566
543.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
27289
218.3 IPS |
|
|
Style Transfer (SP)
|
100% |
118427
152.2 IPS |
|
|
Style Transfer (HP)
|
100% |
288062
370.3 IPS |
|
|
Style Transfer (Q)
|
98% |
106491
137.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24459
903.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39991
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16618
615.3 IPS |
|
|
Text Classification (SP)
|
100% |
3290
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
3859
5.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1747
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3762
64.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3792
65.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1642
30.8 IPS |
