ASUSTeK COMPUTER INC. ROG Strix G16 G615JPR_G615JPR
Geekbench AI Score
1315
Single Precision Score
2141
Half Precision Score
3663
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | george_427 |
| Upload Date | August 27 2025 09:51 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) RaptorLake-S Mobile Graphics Controller (iGPU) |
| 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% |
865
160.9 IPS |
|
|
Image Classification (HP)
|
100% |
1055
196.3 IPS |
|
|
Image Classification (Q)
|
99% |
2727
508.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1264
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4090
66.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2505
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2224
2.60 IPS |
|
|
Pose Estimation (HP)
|
99% |
1627
1.90 IPS |
|
|
Pose Estimation (Q)
|
97% |
6789
7.95 IPS |
|
|
Object Detection (SP)
|
100% |
625
49.6 IPS |
|
|
Object Detection (HP)
|
98% |
1166
92.8 IPS |
|
|
Object Detection (Q)
|
90% |
2366
189.2 IPS |
|
|
Face Detection (SP)
|
100% |
2825
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
3710
44.1 IPS |
|
|
Face Detection (Q)
|
100% |
5567
66.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2604
20.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
7164
55.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
8358
65.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5853
7.52 IPS |
|
|
Style Transfer (HP)
|
100% |
8662
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
15592
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1088
40.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1441
53.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3926
145.4 IPS |
|
|
Text Classification (SP)
|
71% |
420
606.9 IPS |
|
|
Text Classification (HP)
|
71% |
760
1.10 KIPS |
|
|
Text Classification (Q)
|
92% |
666
894.2 IPS |
|
|
Machine Translation (SP)
|
100% |
519
8.94 IPS |
|
|
Machine Translation (HP)
|
98% |
982
17.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2092
36.0 IPS |
