INTEL i7 openvino cpu ASUSTeK COMPUTER INC. ROG Strix G614JU_G614JU
Geekbench AI Score
4443
Single Precision Score
4416
Half Precision Score
10197
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | rodrigo_rl |
| Upload Date | March 05 2026 04:34 PM |
| Views | 14 |
| Notes | openvino cpu |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) 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% |
2816
523.7 IPS |
|
|
Image Classification (HP)
|
100% |
2770
515.1 IPS |
|
|
Image Classification (Q)
|
100% |
6498
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3384
54.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3450
55.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6572
106.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5071
5.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
5055
5.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
17850
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2536
201.2 IPS |
|
|
Object Detection (HP)
|
100% |
2486
197.2 IPS |
|
|
Object Detection (Q)
|
88% |
6828
547.4 IPS |
|
|
Face Detection (SP)
|
100% |
6724
79.9 IPS |
|
|
Face Detection (HP)
|
100% |
6697
79.6 IPS |
|
|
Face Detection (Q)
|
100% |
14862
176.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6605
50.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6592
50.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
16998
132.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15749
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
15146
19.5 IPS |
|
|
Style Transfer (Q)
|
98% |
51652
66.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3305
122.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3275
120.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10762
398.5 IPS |
|
|
Text Classification (SP)
|
100% |
2641
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
2624
3.50 KIPS |
|
|
Text Classification (Q)
|
92% |
4157
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4011
69.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4087
70.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4003
69.0 IPS |
