MACHENIKE L16P
Geekbench ML Score
11111
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 07:22 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MACHENIKE L16P |
| Motherboard | MACHENIKE L16P |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7735H with Radeon Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5214
975.6 IPS |
|
|
Image Classification (F16)
|
100% |
5256
983.5 IPS |
|
|
Image Classification (I8)
|
100% |
4883
913.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
7215
120.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
7285
121.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
6743
112.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
74015
89.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
77693
94.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
69724
84.4 IPS |
|
|
Object Detection (F32)
|
100% |
3876
289.4 IPS |
|
|
Object Detection (F16)
|
100% |
3639
271.7 IPS |
|
|
Object Detection (I8)
|
61% |
3509
261.9 IPS |
|
|
Face Detection (F32)
|
100% |
13979
166.2 IPS |
|
|
Face Detection (F16)
|
100% |
14135
168.1 IPS |
|
|
Face Detection (I8)
|
89% |
12074
143.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
29902
231.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
31051
240.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
24297
188.4 IPS |
|
|
Style Transfer (F32)
|
100% |
97913
128.8 IPS |
|
|
Style Transfer (F16)
|
100% |
97796
128.6 IPS |
|
|
Style Transfer (I8)
|
98% |
90554
119.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
22441
801.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22085
788.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17351
619.7 IPS |
|
|
Text Classification (F32)
|
100% |
1996
2.87 KIPS |
|
|
Text Classification (F16)
|
100% |
1980
2.85 KIPS |
|
|
Text Classification (I8)
|
98% |
1340
1.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
2685
49.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2686
49.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1638
30.1 IPS |
