iPad mini (5th generation)
Geekbench AI Score
515
Single Precision Score
2111
Half Precision Score
752
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | ioscarhunter |
| Upload Date | August 21 2024 10:22 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
269
50.0 IPS |
|
|
Image Classification (HP)
|
100% |
2024
376.5 IPS |
|
|
Image Classification (Q)
|
99% |
2019
376.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
251
4.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
385
6.24 IPS |
|
|
Image Segmentation (Q)
|
100% |
388
6.29 IPS |
|
|
Pose Estimation (SP)
|
100% |
1109
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
23995
28.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
853
1.00 IPS |
|
|
Object Detection (SP)
|
100% |
282
22.4 IPS |
|
|
Object Detection (HP)
|
100% |
1408
111.7 IPS |
|
|
Object Detection (Q)
|
94% |
202
16.1 IPS |
|
|
Face Detection (SP)
|
100% |
639
7.59 IPS |
|
|
Face Detection (HP)
|
100% |
5212
61.9 IPS |
|
|
Face Detection (Q)
|
100% |
260
3.09 IPS |
|
|
Depth Estimation (SP)
|
100% |
730
5.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
18392
141.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
18578
143.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2026
2.60 IPS |
|
|
Style Transfer (HP)
|
100% |
1906
2.45 IPS |
|
|
Style Transfer (Q)
|
100% |
1880
2.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
562
20.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3614
133.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
482
17.9 IPS |
|
|
Text Classification (SP)
|
100% |
272
363.6 IPS |
|
|
Text Classification (HP)
|
100% |
305
406.7 IPS |
|
|
Text Classification (Q)
|
93% |
303
406.8 IPS |
|
|
Machine Translation (SP)
|
100% |
432
7.45 IPS |
|
|
Machine Translation (HP)
|
100% |
332
5.72 IPS |
|
|
Machine Translation (Q)
|
98% |
327
5.65 IPS |
