iPad mini (6th generation)
Geekbench AI Score
3063
Single Precision Score
3418
Half Precision Score
3347
Quantized Score
Geekbench AI 1.4.0 Corporate for iOS AArch64
Result Information
| Upload Date | June 25 2025 12:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
640
119.0 IPS |
|
|
Image Classification (HP)
|
100% |
713
132.6 IPS |
|
|
Image Classification (Q)
|
96% |
689
128.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2598
42.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2788
45.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2667
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10662
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
11938
13.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
11807
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1300
103.1 IPS |
|
|
Object Detection (HP)
|
100% |
1125
89.2 IPS |
|
|
Object Detection (Q)
|
92% |
1112
88.8 IPS |
|
|
Face Detection (SP)
|
100% |
4119
48.9 IPS |
|
|
Face Detection (HP)
|
100% |
4427
52.6 IPS |
|
|
Face Detection (Q)
|
100% |
4388
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7763
59.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8176
63.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
7759
60.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17546
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21744
28.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21456
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2871
106.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2827
104.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2765
102.1 IPS |
|
|
Text Classification (SP)
|
100% |
2442
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4292
5.73 KIPS |
|
|
Text Classification (Q)
|
93% |
4274
5.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
803
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
855
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
848
14.7 IPS |
