ASUSTeK COMPUTER INC. ROG Strix G16 G615JPR_G615JPR
Geekbench AI Score
19295
Single Precision Score
35281
Half Precision Score
15066
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | george_427 |
| Upload Date | August 27 2025 09:59 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G16 G615JPR_G615JPR |
| Motherboard | ASUSTeK COMPUTER INC. G615JPR |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7408
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
14557
2.71 KIPS |
|
|
Image Classification (Q)
|
100% |
6811
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15145
245.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23125
374.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
12868
209.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
108926
127.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
325234
379.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
101949
119.4 IPS |
|
|
Object Detection (SP)
|
100% |
9358
742.3 IPS |
|
|
Object Detection (HP)
|
100% |
16097
1.28 KIPS |
|
|
Object Detection (Q)
|
83% |
7942
641.7 IPS |
|
|
Face Detection (SP)
|
100% |
24704
293.5 IPS |
|
|
Face Detection (HP)
|
100% |
39622
470.8 IPS |
|
|
Face Detection (Q)
|
97% |
22805
271.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
46632
359.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
90400
696.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
37997
303.3 IPS |
|
|
Style Transfer (SP)
|
100% |
150456
193.4 IPS |
|
|
Style Transfer (HP)
|
100% |
509386
654.8 IPS |
|
|
Style Transfer (Q)
|
98% |
134835
173.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27997
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54657
2.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21716
804.1 IPS |
|
|
Text Classification (SP)
|
100% |
3041
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3578
4.78 KIPS |
|
|
Text Classification (Q)
|
97% |
1908
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4240
73.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4752
81.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1755
32.9 IPS |
