iPad mini (6th generation)
Geekbench AI Score
3124
Single Precision Score
5488
Half Precision Score
4436
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 25 2025 05:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1248
232.1 IPS |
|
|
Image Classification (HP)
|
100% |
2255
419.3 IPS |
|
|
Image Classification (Q)
|
96% |
1548
289.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1249
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1876
30.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2306
37.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5991
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
13430
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11118
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1338
106.1 IPS |
|
|
Object Detection (HP)
|
97% |
2569
204.5 IPS |
|
|
Object Detection (Q)
|
94% |
1821
145.1 IPS |
|
|
Face Detection (SP)
|
100% |
2610
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
5292
62.9 IPS |
|
|
Face Detection (Q)
|
100% |
2975
35.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5120
39.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10072
77.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6951
54.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16631
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26328
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21644
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3692
136.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4572
168.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3475
128.3 IPS |
|
|
Text Classification (SP)
|
100% |
2448
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4364
5.83 KIPS |
|
|
Text Classification (Q)
|
93% |
4273
5.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3533
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6065
104.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6154
106.3 IPS |
