ASUSTeK COMPUTER INC. ROG Strix G16 G615LP_G615LP
Geekbench AI Score
8398
Single Precision Score
10034
Half Precision Score
15462
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 10 2025 05:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
5614
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
7122
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
9914
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8014
129.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2931
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3995
64.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13545
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
34375
40.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
75322
88.2 IPS |
|
|
Object Detection (SP)
|
100% |
5245
416.1 IPS |
|
|
Object Detection (HP)
|
100% |
6255
496.2 IPS |
|
|
Object Detection (Q)
|
87% |
10319
828.2 IPS |
|
|
Face Detection (SP)
|
100% |
15381
182.8 IPS |
|
|
Face Detection (HP)
|
100% |
16688
198.3 IPS |
|
|
Face Detection (Q)
|
100% |
29419
349.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
14026
108.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
18533
142.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
34233
266.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25974
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
51853
66.7 IPS |
|
|
Style Transfer (Q)
|
98% |
95641
123.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7757
286.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14502
535.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26279
973.2 IPS |
|
|
Text Classification (SP)
|
100% |
3873
5.17 KIPS |
|
|
Text Classification (HP)
|
100% |
2246
3.00 KIPS |
|
|
Text Classification (Q)
|
92% |
2239
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3244
55.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4413
76.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4479
77.2 IPS |
