iPad mini (6th generation)
Geekbench AI Score
3019
Single Precision Score
3308
Half Precision Score
3121
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 11:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| Model | iPad mini (6th generation) |
| Model ID | iPad14,2 |
| Motherboard | J311AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.92 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
665
123.7 IPS |
|
|
Image Classification (HP)
|
100% |
610
113.5 IPS |
|
|
Image Classification (Q)
|
96% |
605
113.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2557
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2528
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2496
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10851
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12204
14.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
11974
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1212
96.1 IPS |
|
|
Object Detection (HP)
|
100% |
1154
91.5 IPS |
|
|
Object Detection (Q)
|
92% |
807
64.4 IPS |
|
|
Face Detection (SP)
|
100% |
3927
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
4159
49.4 IPS |
|
|
Face Detection (Q)
|
100% |
4044
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7544
58.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7912
61.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
7549
59.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18104
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22133
28.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21389
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2710
100.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2750
101.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2625
96.9 IPS |
|
|
Text Classification (SP)
|
100% |
2448
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4220
5.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4227
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
793
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
855
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
830
14.3 IPS |
