INTEL I7 - ONNX CPU ASUSTeK COMPUTER INC. ROG Strix G614JU_G614JU
Geekbench AI Score
3729
Single Precision Score
1451
Half Precision Score
6986
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | rodrigo_rl |
| Upload Date | March 05 2026 04:28 PM |
| Views | 18 |
| Notes | ONNX CPU |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13650HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Business (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% |
3095
575.6 IPS |
|
|
Image Classification (HP)
|
100% |
526
97.7 IPS |
|
|
Image Classification (Q)
|
99% |
5564
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1450
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
888
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
8342
135.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6536
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
4292
5.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
20917
24.5 IPS |
|
|
Object Detection (SP)
|
100% |
2908
230.7 IPS |
|
|
Object Detection (HP)
|
100% |
674
53.4 IPS |
|
|
Object Detection (Q)
|
86% |
6160
495.1 IPS |
|
|
Face Detection (SP)
|
100% |
7402
88.0 IPS |
|
|
Face Detection (HP)
|
100% |
1491
17.7 IPS |
|
|
Face Detection (Q)
|
97% |
8622
102.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8336
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2023
15.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
13606
108.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15018
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10402
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
19882
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2554
94.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1907
70.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4739
175.5 IPS |
|
|
Text Classification (SP)
|
100% |
1581
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
677
903.3 IPS |
|
|
Text Classification (Q)
|
97% |
1426
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1629
28.1 IPS |
|
|
Machine Translation (HP)
|
100% |
759
13.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2939
59.1 IPS |
