ASUSTeK COMPUTER INC. ROG Strix G16 G614FM_G614FM
Geekbench ML Score
5297
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 05 2025 02:29 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G16 G614FM_G614FM |
| Motherboard | ASUSTeK COMPUTER INC. G614FM |
| 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 |
| 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 | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2106
394.2 IPS |
|
|
Image Classification (F16)
|
100% |
2212
413.8 IPS |
|
|
Image Classification (I8)
|
99% |
5581
1.04 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1820
30.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1889
31.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
3667
61.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
21915
26.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
21227
25.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
49283
59.7 IPS |
|
|
Object Detection (F32)
|
100% |
1925
143.7 IPS |
|
|
Object Detection (F16)
|
100% |
2210
165.0 IPS |
|
|
Object Detection (I8)
|
62% |
2194
163.8 IPS |
|
|
Face Detection (F32)
|
100% |
2913
34.6 IPS |
|
|
Face Detection (F16)
|
100% |
2955
35.1 IPS |
|
|
Face Detection (I8)
|
89% |
4932
58.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
9002
69.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
9034
70.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
22788
176.7 IPS |
|
|
Style Transfer (F32)
|
100% |
32870
43.2 IPS |
|
|
Style Transfer (F16)
|
100% |
34456
45.3 IPS |
|
|
Style Transfer (I8)
|
98% |
23541
31.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4631
165.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4657
166.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6557
234.2 IPS |
|
|
Text Classification (F32)
|
100% |
1891
2.72 KIPS |
|
|
Text Classification (F16)
|
100% |
1976
2.84 KIPS |
|
|
Text Classification (I8)
|
98% |
1428
2.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
3131
57.6 IPS |
|
|
Machine Translation (F16)
|
100% |
3342
61.5 IPS |
|
|
Machine Translation (I8)
|
67% |
4531
83.4 IPS |
