iPad mini (6th generation)
Geekbench AI Score
1876
Single Precision Score
10339
Half Precision Score
9187
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 02:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 3.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
917
170.5 IPS |
|
|
Image Classification (HP)
|
100% |
4197
780.6 IPS |
|
|
Image Classification (Q)
|
96% |
4881
911.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
601
9.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
3711
60.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
426
6.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
5249
6.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
64180
74.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
66541
78.0 IPS |
|
|
Object Detection (SP)
|
100% |
965
76.6 IPS |
|
|
Object Detection (HP)
|
99% |
5250
417.7 IPS |
|
|
Object Detection (Q)
|
93% |
7141
569.8 IPS |
|
|
Face Detection (SP)
|
100% |
1629
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
9862
117.2 IPS |
|
|
Face Detection (Q)
|
100% |
11916
141.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3245
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
37612
289.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
46833
366.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9589
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
97643
125.5 IPS |
|
|
Style Transfer (Q)
|
95% |
93890
121.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2854
105.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13328
492.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14853
548.5 IPS |
|
|
Text Classification (SP)
|
100% |
996
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
2655
3.54 KIPS |
|
|
Text Classification (Q)
|
93% |
2609
3.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1345
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2077
35.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2135
36.9 IPS |
