iPad mini (6th generation)
Geekbench AI Score
3046
Single Precision Score
5547
Half Precision Score
4481
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | semperfidelis316 |
| Upload Date | March 25 2026 05:39 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
1201
223.4 IPS |
|
|
Image Classification (HP)
|
100% |
2260
420.2 IPS |
|
|
Image Classification (Q)
|
96% |
1547
288.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1241
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1870
30.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2314
37.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5653
6.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
13798
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11230
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1276
101.2 IPS |
|
|
Object Detection (HP)
|
97% |
2612
207.9 IPS |
|
|
Object Detection (Q)
|
94% |
1850
147.5 IPS |
|
|
Face Detection (SP)
|
100% |
2672
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
5368
63.8 IPS |
|
|
Face Detection (Q)
|
100% |
3045
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4945
38.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10222
79.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7019
54.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16255
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25687
33.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21242
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3485
128.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4658
172.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3490
128.9 IPS |
|
|
Text Classification (SP)
|
100% |
2514
3.36 KIPS |
|
|
Text Classification (HP)
|
99% |
4286
5.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4278
5.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3405
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6441
111.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6475
111.9 IPS |
