ASUSTeK COMPUTER INC. ROG Strix G16 G615LP_G615LP
Geekbench AI Score
6680
Single Precision Score
2443
Half Precision Score
10800
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 10 2025 04:46 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G16 G615LP_G615LP |
| Motherboard | ASUSTeK COMPUTER INC. G615LP |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 275HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5408
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
825
153.4 IPS |
|
|
Image Classification (Q)
|
99% |
8897
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3026
49.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1465
23.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
16363
266.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15126
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
8048
9.39 IPS |
|
|
Pose Estimation (Q)
|
94% |
49033
57.5 IPS |
|
|
Object Detection (SP)
|
100% |
4749
376.7 IPS |
|
|
Object Detection (HP)
|
100% |
1078
85.5 IPS |
|
|
Object Detection (Q)
|
86% |
11424
918.2 IPS |
|
|
Face Detection (SP)
|
100% |
14449
171.7 IPS |
|
|
Face Detection (HP)
|
100% |
2431
28.9 IPS |
|
|
Face Detection (Q)
|
97% |
12612
150.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
15760
121.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3295
25.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
23371
186.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31189
40.1 IPS |
|
|
Style Transfer (HP)
|
100% |
19323
24.8 IPS |
|
|
Style Transfer (Q)
|
98% |
25263
32.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4534
167.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3407
125.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6550
242.5 IPS |
|
|
Text Classification (SP)
|
100% |
1697
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
979
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1414
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2757
47.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1400
24.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3842
77.2 IPS |
