iPad mini (6th generation)
Geekbench AI Score
2856
Single Precision Score
5285
Half Precision Score
4254
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | adrianclark |
| Upload Date | October 16 2025 05:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1209
224.8 IPS |
|
|
Image Classification (HP)
|
100% |
2221
413.0 IPS |
|
|
Image Classification (Q)
|
96% |
1539
287.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1213
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1838
29.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2205
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4993
5.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
12316
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
10366
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
1171
92.9 IPS |
|
|
Object Detection (HP)
|
97% |
2335
185.9 IPS |
|
|
Object Detection (Q)
|
94% |
1718
136.9 IPS |
|
|
Face Detection (SP)
|
100% |
2458
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
4941
58.7 IPS |
|
|
Face Detection (Q)
|
100% |
2820
33.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4798
37.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9865
76.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6565
51.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14076
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23823
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
19303
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3252
120.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4621
170.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3335
123.2 IPS |
|
|
Text Classification (SP)
|
100% |
2539
3.39 KIPS |
|
|
Text Classification (HP)
|
99% |
4439
5.92 KIPS |
|
|
Text Classification (Q)
|
93% |
4418
5.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3082
53.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6086
105.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6100
105.4 IPS |
