ASUSTeK COMPUTER INC. ROG Strix G16 G615LP_G615LP
Geekbench AI Score
8190
Single Precision Score
8251
Half Precision Score
14037
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 10 2025 04:54 AM |
| Views | 2 |
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 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% |
5298
985.4 IPS |
|
|
Image Classification (HP)
|
100% |
6022
1.12 KIPS |
|
|
Image Classification (Q)
|
100% |
9735
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8004
129.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4212
68.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
11445
185.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12930
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12059
14.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
20856
24.4 IPS |
|
|
Object Detection (SP)
|
100% |
5198
412.3 IPS |
|
|
Object Detection (HP)
|
100% |
5819
461.6 IPS |
|
|
Object Detection (Q)
|
88% |
9590
768.8 IPS |
|
|
Face Detection (SP)
|
100% |
14901
177.1 IPS |
|
|
Face Detection (HP)
|
100% |
17181
204.2 IPS |
|
|
Face Detection (Q)
|
100% |
23605
280.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13443
103.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
15020
115.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
26303
204.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25918
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23120
29.7 IPS |
|
|
Style Transfer (Q)
|
98% |
73450
94.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7429
274.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7163
264.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15004
555.7 IPS |
|
|
Text Classification (SP)
|
100% |
3945
5.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2958
3.95 KIPS |
|
|
Text Classification (Q)
|
92% |
5973
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3133
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6504
112.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3261
56.2 IPS |
