Ninkear S14
Geekbench ML Score
2890
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 21 2025 02:20 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Ninkear S14 |
| Motherboard | Ninkear Standard |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7535HS |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.30 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% |
1073
200.8 IPS |
|
|
Image Classification (F16)
|
100% |
1073
200.8 IPS |
|
|
Image Classification (I8)
|
100% |
929
173.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1854
31.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1938
32.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1535
25.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
13933
16.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
14164
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
11680
14.1 IPS |
|
|
Object Detection (F32)
|
100% |
1048
78.2 IPS |
|
|
Object Detection (F16)
|
100% |
1047
78.1 IPS |
|
|
Object Detection (I8)
|
62% |
964
71.9 IPS |
|
|
Face Detection (F32)
|
100% |
3083
36.7 IPS |
|
|
Face Detection (F16)
|
100% |
3158
37.5 IPS |
|
|
Face Detection (I8)
|
89% |
2494
29.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6966
54.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
6972
54.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
5686
44.1 IPS |
|
|
Style Transfer (F32)
|
100% |
25057
33.0 IPS |
|
|
Style Transfer (F16)
|
100% |
24369
32.1 IPS |
|
|
Style Transfer (I8)
|
98% |
18856
24.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4877
174.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4777
170.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3578
127.8 IPS |
|
|
Text Classification (F32)
|
100% |
896
1.29 KIPS |
|
|
Text Classification (F16)
|
100% |
905
1.30 KIPS |
|
|
Text Classification (I8)
|
98% |
612
879.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1339
24.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1353
24.9 IPS |
|
|
Machine Translation (I8)
|
70% |
814
15.0 IPS |
