iPad mini (6th generation)
Geekbench AI Score
2288
Single Precision Score
2395
Half Precision Score
907
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 12:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
669
124.4 IPS |
|
|
Image Classification (HP)
|
100% |
636
118.3 IPS |
|
|
Image Classification (Q)
|
97% |
503
93.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2289
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2358
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2186
35.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10650
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
11637
13.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
10536
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
997
79.1 IPS |
|
|
Object Detection (HP)
|
100% |
1088
86.3 IPS |
|
|
Object Detection (Q)
|
92% |
1004
80.2 IPS |
|
|
Face Detection (SP)
|
100% |
3611
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
3535
42.0 IPS |
|
|
Face Detection (Q)
|
100% |
3381
40.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7346
56.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7407
57.1 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
52.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17765
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
21622
27.8 IPS |
|
|
Style Transfer (Q)
|
96% |
20183
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2661
98.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2801
103.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2571
94.9 IPS |
|
|
Text Classification (SP)
|
100% |
361
482.0 IPS |
|
|
Text Classification (HP)
|
100% |
360
480.0 IPS |
|
|
Text Classification (Q)
|
93% |
223
298.7 IPS |
|
|
Machine Translation (SP)
|
100% |
535
9.22 IPS |
|
|
Machine Translation (HP)
|
100% |
574
9.88 IPS |
|
|
Machine Translation (Q)
|
98% |
829
14.3 IPS |
