Machenike L16A
Geekbench AI Score
3084
Single Precision Score
1475
Half Precision Score
6853
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 14 2025 01:40 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7640HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | Machenike L16A |
| Motherboard | Machenike L16A |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7640HS |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2255
419.3 IPS |
|
|
Image Classification (HP)
|
100% |
599
111.4 IPS |
|
|
Image Classification (Q)
|
99% |
7061
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1380
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
684
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7494
121.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4481
5.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
3574
4.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
18574
21.8 IPS |
|
|
Object Detection (SP)
|
100% |
2236
177.4 IPS |
|
|
Object Detection (HP)
|
100% |
738
58.5 IPS |
|
|
Object Detection (Q)
|
86% |
6530
524.8 IPS |
|
|
Face Detection (SP)
|
100% |
4402
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
1577
18.7 IPS |
|
|
Face Detection (Q)
|
97% |
8961
106.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6415
49.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2163
16.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
6540
52.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11689
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10050
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
21445
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1922
71.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1887
69.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5454
201.9 IPS |
|
|
Text Classification (SP)
|
100% |
1940
2.59 KIPS |
|
|
Text Classification (HP)
|
100% |
831
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1710
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2029
34.9 IPS |
|
|
Machine Translation (HP)
|
100% |
844
14.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3039
61.1 IPS |
