iPad mini (6th generation)
Geekbench AI Score
3159
Single Precision Score
19150
Half Precision Score
22162
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 25 2025 05:53 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
1288
239.5 IPS |
|
|
Image Classification (HP)
|
100% |
8463
1.57 KIPS |
|
|
Image Classification (Q)
|
96% |
9712
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1250
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12855
208.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
15002
243.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6000
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
77338
90.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
82477
96.7 IPS |
|
|
Object Detection (SP)
|
100% |
1403
111.3 IPS |
|
|
Object Detection (HP)
|
99% |
10927
869.3 IPS |
|
|
Object Detection (Q)
|
91% |
11887
949.8 IPS |
|
|
Face Detection (SP)
|
100% |
2638
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
26270
312.1 IPS |
|
|
Face Detection (Q)
|
100% |
32441
385.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5091
39.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
56909
438.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
75074
586.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16794
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
135983
174.8 IPS |
|
|
Style Transfer (Q)
|
96% |
155176
200.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3711
137.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25008
923.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29319
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2446
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2360
3.15 KIPS |
|
|
Text Classification (Q)
|
93% |
2641
3.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3567
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6014
103.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6840
118.2 IPS |
