Ninkear S14
Geekbench AI Score
1789
Single Precision Score
960
Half Precision Score
3543
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 03 2025 03:10 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7535HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Ninkear S14 |
| Motherboard | Ninkear Standard |
| Power Plan | Zrwnowaony |
| 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 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1269
235.9 IPS |
|
|
Image Classification (HP)
|
100% |
425
79.0 IPS |
|
|
Image Classification (Q)
|
96% |
2770
517.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
580
9.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
356
5.77 IPS |
|
|
Image Segmentation (Q)
|
97% |
3407
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2582
3.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2273
2.65 IPS |
|
|
Pose Estimation (Q)
|
86% |
6845
8.09 IPS |
|
|
Object Detection (SP)
|
100% |
1197
95.0 IPS |
|
|
Object Detection (HP)
|
100% |
490
38.9 IPS |
|
|
Object Detection (Q)
|
58% |
1974
215.7 IPS |
|
|
Face Detection (SP)
|
100% |
2824
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
1037
12.3 IPS |
|
|
Face Detection (Q)
|
96% |
5691
67.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3307
25.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1449
11.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
6556
52.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6806
8.75 IPS |
|
|
Style Transfer (HP)
|
100% |
5571
7.16 IPS |
|
|
Style Transfer (Q)
|
87% |
10557
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1252
46.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1079
39.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2870
106.4 IPS |
|
|
Text Classification (SP)
|
100% |
1279
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
732
976.4 IPS |
|
|
Text Classification (Q)
|
97% |
1179
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1456
25.1 IPS |
|
|
Machine Translation (HP)
|
100% |
600
10.3 IPS |
|
|
Machine Translation (Q)
|
68% |
1834
35.4 IPS |
