iPad mini (5th generation)
Geekbench AI Score
508
Single Precision Score
2061
Half Precision Score
367
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | unixwizard |
| Upload Date | February 23 2026 11:45 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
1926
358.1 IPS |
|
|
Image Classification (Q)
|
99% |
159
29.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
249
4.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
366
5.93 IPS |
|
|
Image Segmentation (Q)
|
99% |
194
3.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
1130
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
24075
28.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
911
1.07 IPS |
|
|
Object Detection (SP)
|
100% |
279
22.1 IPS |
|
|
Object Detection (HP)
|
100% |
1345
106.7 IPS |
|
|
Object Detection (Q)
|
94% |
189
15.1 IPS |
|
|
Face Detection (SP)
|
100% |
626
7.43 IPS |
|
|
Face Detection (HP)
|
100% |
5271
62.6 IPS |
|
|
Face Detection (Q)
|
100% |
247
2.94 IPS |
|
|
Depth Estimation (SP)
|
100% |
711
5.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
18647
143.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
479
3.75 IPS |
|
|
Style Transfer (SP)
|
100% |
1895
2.44 IPS |
|
|
Style Transfer (HP)
|
100% |
1892
2.43 IPS |
|
|
Style Transfer (Q)
|
96% |
1542
1.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
572
21.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3175
117.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
466
17.2 IPS |
|
|
Text Classification (SP)
|
100% |
265
353.1 IPS |
|
|
Text Classification (HP)
|
100% |
313
417.3 IPS |
|
|
Text Classification (Q)
|
93% |
301
404.4 IPS |
|
|
Machine Translation (SP)
|
100% |
429
7.38 IPS |
|
|
Machine Translation (HP)
|
100% |
329
5.67 IPS |
|
|
Machine Translation (Q)
|
98% |
327
5.65 IPS |
