ASUSTeK COMPUTER INC. ROG Strix G16 G615JHR_G615JHR
Geekbench AI Score
4416
Single Precision Score
1590
Half Precision Score
7813
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | DhruvinMShetty |
| Upload Date | October 06 2025 04:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14650HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G16 G615JHR_G615JHR |
| Motherboard | ASUSTeK COMPUTER INC. G615JHR |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14650HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3694
687.0 IPS |
|
|
Image Classification (HP)
|
100% |
557
103.6 IPS |
|
|
Image Classification (Q)
|
99% |
6505
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1857
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1173
19.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9841
160.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7842
9.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
4223
4.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
24531
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
3218
255.3 IPS |
|
|
Object Detection (HP)
|
100% |
746
59.1 IPS |
|
|
Object Detection (Q)
|
86% |
6696
538.2 IPS |
|
|
Face Detection (SP)
|
100% |
8777
104.3 IPS |
|
|
Face Detection (HP)
|
100% |
1722
20.5 IPS |
|
|
Face Detection (Q)
|
97% |
9760
116.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9306
71.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2017
15.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
15587
124.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17279
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10286
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
19604
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3235
119.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2027
74.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5420
200.7 IPS |
|
|
Text Classification (SP)
|
100% |
1638
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
746
996.3 IPS |
|
|
Text Classification (Q)
|
97% |
1533
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2182
37.6 IPS |
|
|
Machine Translation (HP)
|
100% |
932
16.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3255
65.4 IPS |
