iPad mini (6th generation)
Geekbench AI Score
1863
Single Precision Score
9981
Half Precision Score
11403
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 12:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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 | 3.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
897
166.9 IPS |
|
|
Image Classification (HP)
|
100% |
4395
817.3 IPS |
|
|
Image Classification (Q)
|
96% |
4922
919.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
601
9.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
3703
60.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5911
95.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5368
6.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
63882
74.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
67121
78.7 IPS |
|
|
Object Detection (SP)
|
100% |
955
75.8 IPS |
|
|
Object Detection (HP)
|
99% |
5365
426.8 IPS |
|
|
Object Detection (Q)
|
93% |
6217
496.0 IPS |
|
|
Face Detection (SP)
|
100% |
1611
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
9798
116.4 IPS |
|
|
Face Detection (Q)
|
100% |
11471
136.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3111
24.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
34255
263.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
40939
319.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9535
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
97628
125.5 IPS |
|
|
Style Transfer (Q)
|
95% |
78755
101.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2846
105.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13231
488.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15426
569.6 IPS |
|
|
Text Classification (SP)
|
100% |
1011
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
1995
2.66 KIPS |
|
|
Text Classification (Q)
|
93% |
2603
3.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1326
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2034
35.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2063
35.7 IPS |
