ASUSTeK COMPUTER INC. ROG Strix G614JV_G614JV
Geekbench AI Score
16592
Single Precision Score
28362
Half Precision Score
13001
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 14 2025 09:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G614JV_G614JV |
| Motherboard | ASUSTeK COMPUTER INC. G614JV |
| Power Plan | Balanced |
| 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% |
6571
1.22 KIPS |
|
|
Image Classification (HP)
|
99% |
11302
2.11 KIPS |
|
|
Image Classification (Q)
|
99% |
6069
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11800
191.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16195
262.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
10697
173.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
87473
102.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
239917
279.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
77536
90.8 IPS |
|
|
Object Detection (SP)
|
100% |
8098
642.4 IPS |
|
|
Object Detection (HP)
|
100% |
15197
1.21 KIPS |
|
|
Object Detection (Q)
|
84% |
7155
577.1 IPS |
|
|
Face Detection (SP)
|
100% |
20296
241.2 IPS |
|
|
Face Detection (HP)
|
100% |
32705
388.6 IPS |
|
|
Face Detection (Q)
|
97% |
17802
212.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
33840
260.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
71291
550.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
29889
239.6 IPS |
|
|
Style Transfer (SP)
|
100% |
136191
175.1 IPS |
|
|
Style Transfer (HP)
|
100% |
345525
444.2 IPS |
|
|
Style Transfer (Q)
|
98% |
121137
156.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26637
983.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41791
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19381
717.6 IPS |
|
|
Text Classification (SP)
|
100% |
3135
4.18 KIPS |
|
|
Text Classification (HP)
|
99% |
3705
4.95 KIPS |
|
|
Text Classification (Q)
|
97% |
1753
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3686
63.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4046
69.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1750
32.8 IPS |
