iPad mini (5th generation)
Geekbench AI Score
526
Single Precision Score
2108
Half Precision Score
218
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | unixwizard |
| Upload Date | December 16 2024 01:26 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad mini (5th generation) |
| Model ID | iPad11,2 |
| Motherboard | J211AP |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
266
49.5 IPS |
|
|
Image Classification (HP)
|
100% |
1991
370.2 IPS |
|
|
Image Classification (Q)
|
99% |
169
31.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
252
4.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
387
6.28 IPS |
|
|
Image Segmentation (Q)
|
99% |
202
3.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
1148
1.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
24710
28.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
921
1.08 IPS |
|
|
Object Detection (SP)
|
100% |
291
23.1 IPS |
|
|
Object Detection (HP)
|
100% |
1404
111.4 IPS |
|
|
Object Detection (Q)
|
94% |
202
16.1 IPS |
|
|
Face Detection (SP)
|
100% |
650
7.72 IPS |
|
|
Face Detection (HP)
|
100% |
5231
62.2 IPS |
|
|
Face Detection (Q)
|
0
|
||
|
Depth Estimation (SP)
|
100% |
791
6.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
18540
142.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
498
3.89 IPS |
|
|
Style Transfer (SP)
|
100% |
2001
2.57 IPS |
|
|
Style Transfer (HP)
|
100% |
1956
2.51 IPS |
|
|
Style Transfer (Q)
|
96% |
1632
2.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
604
22.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3498
129.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
495
18.3 IPS |
|
|
Text Classification (SP)
|
100% |
269
359.2 IPS |
|
|
Text Classification (HP)
|
100% |
287
382.5 IPS |
|
|
Text Classification (Q)
|
93% |
283
379.3 IPS |
|
|
Machine Translation (SP)
|
100% |
438
7.54 IPS |
|
|
Machine Translation (HP)
|
100% |
341
5.87 IPS |
|
|
Machine Translation (Q)
|
98% |
340
5.88 IPS |
