ASUSTeK COMPUTER INC. ROG Strix G18 G814FM_G814FM
Geekbench AI Score
16575
Single Precision Score
31314
Half Precision Score
13170
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 02 2025 08:22 AM |
| Views | 4 |
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 G18 G814FM_G814FM |
| Motherboard | ASUSTeK COMPUTER INC. G814FM |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9955HX 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7214
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
13879
2.58 KIPS |
|
|
Image Classification (Q)
|
100% |
6395
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9798
158.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13662
221.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
10992
178.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
82980
96.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
271648
317.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
72317
84.8 IPS |
|
|
Object Detection (SP)
|
100% |
9253
734.0 IPS |
|
|
Object Detection (HP)
|
100% |
17238
1.37 KIPS |
|
|
Object Detection (Q)
|
89% |
8255
661.3 IPS |
|
|
Face Detection (SP)
|
100% |
19694
234.0 IPS |
|
|
Face Detection (HP)
|
100% |
32041
380.7 IPS |
|
|
Face Detection (Q)
|
97% |
16528
197.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
42713
329.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
93251
718.4 IPS |
|
|
Depth Estimation (Q)
|
72% |
33643
278.8 IPS |
|
|
Style Transfer (SP)
|
100% |
130466
167.7 IPS |
|
|
Style Transfer (HP)
|
100% |
464531
597.2 IPS |
|
|
Style Transfer (Q)
|
98% |
112160
144.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25126
927.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53444
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20576
761.9 IPS |
|
|
Text Classification (SP)
|
100% |
3424
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4146
5.53 KIPS |
|
|
Text Classification (Q)
|
97% |
2156
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3055
52.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3320
57.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1353
30.2 IPS |
