ASUSTeK COMPUTER INC. ROG Strix G16 G614FR_G614FR
Geekbench ML Score
1582
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 10 2025 02:03 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G16 G614FR_G614FR |
| Motherboard | ASUSTeK COMPUTER INC. G614FR |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9955HX3D 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 |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 96.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
574
107.4 IPS |
|
|
Image Classification (F16)
|
100% |
574
107.4 IPS |
|
|
Image Classification (I8)
|
100% |
539
100.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1029
17.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1032
17.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
896
15.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
6052
7.33 IPS |
|
|
Pose Estimation (F16)
|
100% |
6041
7.32 IPS |
|
|
Pose Estimation (I8)
|
100% |
5457
6.61 IPS |
|
|
Object Detection (F32)
|
100% |
606
45.2 IPS |
|
|
Object Detection (F16)
|
100% |
606
45.2 IPS |
|
|
Object Detection (I8)
|
62% |
567
42.3 IPS |
|
|
Face Detection (F32)
|
100% |
1623
19.3 IPS |
|
|
Face Detection (F16)
|
100% |
1618
19.2 IPS |
|
|
Face Detection (I8)
|
89% |
1381
16.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
3395
26.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
3398
26.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
3042
23.6 IPS |
|
|
Style Transfer (F32)
|
100% |
10304
13.6 IPS |
|
|
Style Transfer (F16)
|
100% |
10317
13.6 IPS |
|
|
Style Transfer (I8)
|
98% |
9138
12.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2494
89.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2487
88.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1898
67.8 IPS |
|
|
Text Classification (F32)
|
100% |
587
843.1 IPS |
|
|
Text Classification (F16)
|
100% |
583
838.3 IPS |
|
|
Text Classification (I8)
|
98% |
408
586.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1057
19.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1052
19.4 IPS |
|
|
Machine Translation (I8)
|
70% |
598
11.0 IPS |
