Ninkear M7
Geekbench ML Score
1705
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 11 2025 05:33 AM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Ninkear M7 |
| Motherboard | Ninkear M7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7430U with Radeon Graphics |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon (TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
695
130.0 IPS |
|
|
Image Classification (F16)
|
100% |
701
131.1 IPS |
|
|
Image Classification (I8)
|
99% |
583
109.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
803
13.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
802
13.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
688
11.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
8456
10.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
8439
10.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
6544
7.92 IPS |
|
|
Object Detection (F32)
|
100% |
749
55.9 IPS |
|
|
Object Detection (F16)
|
100% |
735
54.9 IPS |
|
|
Object Detection (I8)
|
67% |
642
47.9 IPS |
|
|
Face Detection (F32)
|
100% |
1394
16.6 IPS |
|
|
Face Detection (F16)
|
100% |
1389
16.5 IPS |
|
|
Face Detection (I8)
|
89% |
1087
12.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
4043
31.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
4020
31.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
3145
24.4 IPS |
|
|
Style Transfer (F32)
|
100% |
14847
19.5 IPS |
|
|
Style Transfer (F16)
|
100% |
14597
19.2 IPS |
|
|
Style Transfer (I8)
|
98% |
10669
14.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2812
100.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2834
101.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1810
64.7 IPS |
|
|
Text Classification (F32)
|
100% |
693
996.6 IPS |
|
|
Text Classification (F16)
|
100% |
704
1.01 KIPS |
|
|
Text Classification (I8)
|
98% |
492
706.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1033
19.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1010
18.6 IPS |
|
|
Machine Translation (I8)
|
69% |
486
8.94 IPS |
