ASUSTeK COMPUTER INC. ROG Strix G16 G615LR_G615LR
Geekbench AI Score
8482
Single Precision Score
8751
Half Precision Score
15988
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | August 10 2025 09:30 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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 G615LR_G615LR |
| Motherboard | ASUSTeK COMPUTER INC. G615LR |
| 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% |
5634
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
6502
1.21 KIPS |
|
|
Image Classification (Q)
|
100% |
10114
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8130
131.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4465
72.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
12009
194.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13915
16.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
13624
15.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
30712
36.0 IPS |
|
|
Object Detection (SP)
|
100% |
5365
425.6 IPS |
|
|
Object Detection (HP)
|
100% |
6787
538.4 IPS |
|
|
Object Detection (Q)
|
88% |
10867
871.1 IPS |
|
|
Face Detection (SP)
|
100% |
13744
163.3 IPS |
|
|
Face Detection (HP)
|
100% |
18567
220.6 IPS |
|
|
Face Detection (Q)
|
100% |
29388
349.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12334
95.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15418
118.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
28527
221.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27296
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23693
30.5 IPS |
|
|
Style Transfer (Q)
|
98% |
89027
114.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8239
304.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6830
252.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16258
602.1 IPS |
|
|
Text Classification (SP)
|
100% |
3966
5.29 KIPS |
|
|
Text Classification (HP)
|
100% |
3077
4.11 KIPS |
|
|
Text Classification (Q)
|
92% |
5932
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3729
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6887
118.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3741
64.4 IPS |
