iPad mini (6th generation)
Geekbench AI Score
3133
Single Precision Score
3446
Half Precision Score
3292
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | semperfidelis316 |
| Upload Date | March 25 2026 05:43 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
697
129.7 IPS |
|
|
Image Classification (HP)
|
100% |
675
125.5 IPS |
|
|
Image Classification (Q)
|
94% |
602
112.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2435
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2654
43.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2569
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10818
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12144
14.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
11821
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1197
95.0 IPS |
|
|
Object Detection (HP)
|
100% |
1123
89.1 IPS |
|
|
Object Detection (Q)
|
91% |
979
78.2 IPS |
|
|
Face Detection (SP)
|
100% |
4299
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
4286
50.9 IPS |
|
|
Face Detection (Q)
|
100% |
4560
54.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7562
58.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7569
58.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7670
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18235
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
22297
28.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21848
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2749
101.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2824
104.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2661
98.2 IPS |
|
|
Text Classification (SP)
|
100% |
2524
3.37 KIPS |
|
|
Text Classification (HP)
|
99% |
4298
5.74 KIPS |
|
|
Text Classification (Q)
|
93% |
4287
5.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1101
19.0 IPS |
|
|
Machine Translation (Q)
|
98% |
960
16.6 IPS |
