ASUSTeK COMPUTER INC. ROG Strix G16 G615LP_G615LP
Geekbench AI Score
22022
Single Precision Score
40929
Half Precision Score
17069
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 28 2025 01:49 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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% |
8984
1.67 KIPS |
|
|
Image Classification (HP)
|
100% |
16434
3.06 KIPS |
|
|
Image Classification (Q)
|
100% |
8239
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17147
278.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
26270
425.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
15717
255.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
115415
134.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
362735
423.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
98180
115.0 IPS |
|
|
Object Detection (SP)
|
100% |
11172
886.2 IPS |
|
|
Object Detection (HP)
|
100% |
20153
1.60 KIPS |
|
|
Object Detection (Q)
|
83% |
9648
779.5 IPS |
|
|
Face Detection (SP)
|
100% |
29352
348.8 IPS |
|
|
Face Detection (HP)
|
100% |
48283
573.7 IPS |
|
|
Face Detection (Q)
|
97% |
25639
305.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
52932
407.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
104940
808.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
43305
345.6 IPS |
|
|
Style Transfer (SP)
|
100% |
165555
212.8 IPS |
|
|
Style Transfer (HP)
|
100% |
569751
732.4 IPS |
|
|
Style Transfer (Q)
|
98% |
145815
188.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31715
1.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60801
2.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24606
911.1 IPS |
|
|
Text Classification (SP)
|
100% |
3260
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
4128
5.51 KIPS |
|
|
Text Classification (Q)
|
97% |
2119
2.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
5080
87.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5770
99.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2028
38.0 IPS |
