ASUSTeK COMPUTER INC. ROG Strix G16 G615JHR_G615JHR
Geekbench AI Score
15164
Single Precision Score
30210
Half Precision Score
11961
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | DhruvinMShetty |
| Upload Date | October 06 2025 04:08 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5050 Laptop GPU |
| 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% |
6319
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
13024
2.42 KIPS |
|
|
Image Classification (Q)
|
99% |
6092
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11260
182.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18121
293.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10486
170.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
64769
75.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
227247
265.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
64428
75.5 IPS |
|
|
Object Detection (SP)
|
100% |
7851
622.8 IPS |
|
|
Object Detection (HP)
|
100% |
15176
1.20 KIPS |
|
|
Object Detection (Q)
|
87% |
7098
569.6 IPS |
|
|
Face Detection (SP)
|
100% |
19499
231.7 IPS |
|
|
Face Detection (HP)
|
100% |
33160
394.0 IPS |
|
|
Face Detection (Q)
|
97% |
17951
214.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
34558
266.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
80581
620.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
29734
237.8 IPS |
|
|
Style Transfer (SP)
|
100% |
102054
131.2 IPS |
|
|
Style Transfer (HP)
|
100% |
361318
464.5 IPS |
|
|
Style Transfer (Q)
|
98% |
86228
111.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18701
690.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42154
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14628
541.7 IPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4018
5.36 KIPS |
|
|
Text Classification (Q)
|
97% |
1768
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4310
74.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4758
82.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1724
32.3 IPS |
