iPad mini (6th generation)
Geekbench AI Score
3131
Single Precision Score
3408
Half Precision Score
3300
Quantized Score
Geekbench AI 1.6.0 Corporate for iOS AArch64
Result Information
| Upload Date | December 02 2025 05:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| Model | iPad mini (6th generation) |
| Model ID | iPad14,1 |
| Motherboard | J310AP |
| 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% |
718
133.5 IPS |
|
|
Image Classification (HP)
|
100% |
649
120.8 IPS |
|
|
Image Classification (Q)
|
96% |
712
132.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2644
42.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2749
44.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2486
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10751
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
11886
13.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
11810
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1323
104.9 IPS |
|
|
Object Detection (HP)
|
100% |
1198
95.0 IPS |
|
|
Object Detection (Q)
|
92% |
1038
82.9 IPS |
|
|
Face Detection (SP)
|
100% |
4199
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
4367
51.9 IPS |
|
|
Face Detection (Q)
|
100% |
4296
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7884
60.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8612
66.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
7945
62.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17679
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21754
28.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21551
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2963
109.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2761
102.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2541
93.8 IPS |
|
|
Text Classification (SP)
|
100% |
2425
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4280
5.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4242
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
798
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
863
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
892
15.4 IPS |
