Ninkear M7
Geekbench AI Score
1197
Single Precision Score
1198
Half Precision Score
858
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | December 09 2025 09:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 7430U with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 13 (trixie) |
| Model | Ninkear M7 |
| Motherboard | Ninkear M7 |
| 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 | 4.39 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1017
189.2 IPS |
|
|
Image Classification (HP)
|
100% |
1021
190.0 IPS |
|
|
Image Classification (Q)
|
99% |
576
107.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1117
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1145
18.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
683
11.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1194
1.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1194
1.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
1298
1.52 IPS |
|
|
Object Detection (SP)
|
100% |
944
74.9 IPS |
|
|
Object Detection (HP)
|
100% |
944
74.9 IPS |
|
|
Object Detection (Q)
|
85% |
576
46.4 IPS |
|
|
Face Detection (SP)
|
100% |
1216
14.4 IPS |
|
|
Face Detection (HP)
|
100% |
1208
14.4 IPS |
|
|
Face Detection (Q)
|
97% |
1518
18.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1165
8.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
1158
8.92 IPS |
|
|
Depth Estimation (Q)
|
63% |
1048
9.83 IPS |
|
|
Style Transfer (SP)
|
100% |
1331
1.71 IPS |
|
|
Style Transfer (HP)
|
100% |
1331
1.71 IPS |
|
|
Style Transfer (Q)
|
98% |
2558
3.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1239
45.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1239
45.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
856
31.7 IPS |
|
|
Text Classification (SP)
|
100% |
1512
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
1533
2.05 KIPS |
|
|
Text Classification (Q)
|
92% |
531
712.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1336
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1316
22.7 IPS |
|
|
Machine Translation (Q)
|
58% |
402
9.43 IPS |
