iPad mini (6th generation)
Geekbench AI Score
2996
Single Precision Score
3234
Half Precision Score
3126
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Wilson53838 |
| Upload Date | October 02 2025 02:11 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
634
118.0 IPS |
|
|
Image Classification (HP)
|
100% |
606
112.8 IPS |
|
|
Image Classification (Q)
|
96% |
591
110.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2517
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2502
40.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2491
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10775
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12130
14.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
11777
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1133
89.9 IPS |
|
|
Object Detection (HP)
|
100% |
1100
87.3 IPS |
|
|
Object Detection (Q)
|
92% |
955
76.2 IPS |
|
|
Face Detection (SP)
|
100% |
4137
49.2 IPS |
|
|
Face Detection (HP)
|
100% |
4026
47.8 IPS |
|
|
Face Detection (Q)
|
100% |
3964
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7203
55.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
7405
57.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
7402
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18064
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21875
28.1 IPS |
|
|
Style Transfer (Q)
|
96% |
21305
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2847
105.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2642
97.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2358
87.1 IPS |
|
|
Text Classification (SP)
|
100% |
2475
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
4306
5.75 KIPS |
|
|
Text Classification (Q)
|
93% |
4278
5.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
790
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
834
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
854
14.8 IPS |
