ASUSTeK COMPUTER INC. ROG Strix G16 G614PM_G614PM
Geekbench AI Score
18679
Single Precision Score
35323
Half Precision Score
14707
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 13 2025 07:01 PM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G16 G614PM_G614PM |
| Motherboard | ASUSTeK COMPUTER INC. G614PM |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 8940HX with Radeon Graphics |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7525
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
13729
2.55 KIPS |
|
|
Image Classification (Q)
|
99% |
7047
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14392
233.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23623
383.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
13434
218.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
86549
101.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
271597
316.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
77589
90.9 IPS |
|
|
Object Detection (SP)
|
100% |
9966
790.5 IPS |
|
|
Object Detection (HP)
|
100% |
18475
1.47 KIPS |
|
|
Object Detection (Q)
|
87% |
8796
705.9 IPS |
|
|
Face Detection (SP)
|
100% |
24474
290.8 IPS |
|
|
Face Detection (HP)
|
100% |
41164
489.1 IPS |
|
|
Face Detection (Q)
|
97% |
21710
258.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
45212
348.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
93161
717.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
37206
297.5 IPS |
|
|
Style Transfer (SP)
|
100% |
136961
176.1 IPS |
|
|
Style Transfer (HP)
|
100% |
463728
596.1 IPS |
|
|
Style Transfer (Q)
|
98% |
117104
151.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25336
935.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51294
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19973
739.6 IPS |
|
|
Text Classification (SP)
|
100% |
2880
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3506
4.68 KIPS |
|
|
Text Classification (Q)
|
97% |
1959
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
5008
86.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5811
100.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1980
37.1 IPS |
