ASUSTeK COMPUTER INC. ROG Strix G16 G614FR_G614FR
Geekbench ML Score
17150
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 10 2025 02:00 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 | NVIDIA GeForce RTX 5070 Ti Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7610
1.42 KIPS |
|
|
Image Classification (F16)
|
100% |
7902
1.48 KIPS |
|
|
Image Classification (I8)
|
100% |
6439
1.20 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13969
233.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
13988
233.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
12968
216.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
116632
141.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
116240
140.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
115772
140.2 IPS |
|
|
Object Detection (F32)
|
100% |
4361
325.6 IPS |
|
|
Object Detection (F16)
|
100% |
4369
326.2 IPS |
|
|
Object Detection (I8)
|
57% |
4205
313.9 IPS |
|
|
Face Detection (F32)
|
100% |
27668
329.0 IPS |
|
|
Face Detection (F16)
|
100% |
27776
330.3 IPS |
|
|
Face Detection (I8)
|
89% |
23202
275.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
54693
424.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
55071
427.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
44072
341.8 IPS |
|
|
Style Transfer (F32)
|
100% |
191508
251.9 IPS |
|
|
Style Transfer (F16)
|
100% |
187807
247.0 IPS |
|
|
Style Transfer (I8)
|
98% |
166393
218.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
30273
1.08 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
27985
999.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
23647
844.5 IPS |
|
|
Text Classification (F32)
|
100% |
2256
3.24 KIPS |
|
|
Text Classification (F16)
|
100% |
2303
3.31 KIPS |
|
|
Text Classification (I8)
|
98% |
1570
2.26 KIPS |
|
|
Machine Translation (F32)
|
100% |
4312
79.4 IPS |
|
|
Machine Translation (F16)
|
100% |
4314
79.4 IPS |
|
|
Machine Translation (I8)
|
70% |
2010
37.0 IPS |
