iPad mini (5th generation)
Geekbench AI Score
518
Single Precision Score
2062
Half Precision Score
375
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | HimenoSena |
| Upload Date | February 13 2026 09:46 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
270
50.1 IPS |
|
|
Image Classification (HP)
|
100% |
1936
360.1 IPS |
|
|
Image Classification (Q)
|
99% |
159
29.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
249
4.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
349
5.66 IPS |
|
|
Image Segmentation (Q)
|
99% |
202
3.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
1139
1.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
24509
28.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
938
1.10 IPS |
|
|
Object Detection (SP)
|
100% |
286
22.7 IPS |
|
|
Object Detection (HP)
|
100% |
1364
108.2 IPS |
|
|
Object Detection (Q)
|
94% |
188
15.0 IPS |
|
|
Face Detection (SP)
|
100% |
642
7.63 IPS |
|
|
Face Detection (HP)
|
100% |
5261
62.5 IPS |
|
|
Face Detection (Q)
|
100% |
276
3.28 IPS |
|
|
Depth Estimation (SP)
|
100% |
757
5.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
18755
144.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
500
3.90 IPS |
|
|
Style Transfer (SP)
|
100% |
2000
2.57 IPS |
|
|
Style Transfer (HP)
|
100% |
1941
2.50 IPS |
|
|
Style Transfer (Q)
|
96% |
1556
2.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
579
21.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3190
117.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
470
17.4 IPS |
|
|
Text Classification (SP)
|
100% |
262
350.2 IPS |
|
|
Text Classification (HP)
|
100% |
298
398.0 IPS |
|
|
Text Classification (Q)
|
93% |
296
397.8 IPS |
|
|
Machine Translation (SP)
|
100% |
439
7.57 IPS |
|
|
Machine Translation (HP)
|
100% |
338
5.82 IPS |
|
|
Machine Translation (Q)
|
98% |
332
5.74 IPS |
