| User | ERTIS |
| Upload Date | March 18 2025 01:01 PM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| Model | iPad mini (5th generation) |
| Model ID | iPad11,1 |
| Motherboard | J210AP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 2.85 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
224
41.6 IPS |
|
|
Image Classification (HP)
|
100% |
262
48.7 IPS |
|
|
Image Classification (Q)
|
96% |
138
25.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
214
3.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
248
4.01 IPS |
|
|
Image Segmentation (Q)
|
99% |
177
2.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
1510
1.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
2159
2.52 IPS |
|
|
Pose Estimation (Q)
|
96% |
671
0.79 IPS |
|
|
Object Detection (SP)
|
100% |
527
41.8 IPS |
|
|
Object Detection (HP)
|
100% |
550
43.6 IPS |
|
|
Object Detection (Q)
|
92% |
158
12.6 IPS |
|
|
Face Detection (SP)
|
100% |
1914
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
2211
26.3 IPS |
|
|
Face Detection (Q)
|
100% |
264
3.13 IPS |
|
|
Depth Estimation (SP)
|
100% |
1743
13.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2416
18.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
419
3.27 IPS |
|
|
Style Transfer (SP)
|
100% |
4488
5.77 IPS |
|
|
Style Transfer (HP)
|
100% |
5558
7.14 IPS |
|
|
Style Transfer (Q)
|
96% |
1491
1.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
803
29.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1061
39.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
294
10.9 IPS |
|
|
Text Classification (SP)
|
100% |
148
198.1 IPS |
|
|
Text Classification (HP)
|
100% |
206
275.0 IPS |
|
|
Text Classification (Q)
|
93% |
204
273.4 IPS |
|
|
Machine Translation (SP)
|
100% |
178
3.06 IPS |
|
|
Machine Translation (HP)
|
100% |
160
2.76 IPS |
|
|
Machine Translation (Q)
|
98% |
160
2.77 IPS |