iPad mini (7th generation)
Geekbench AI Score
3808
Single Precision Score
6938
Half Precision Score
5697
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 03 2026 01:48 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPad mini (7th generation) |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1611
299.7 IPS |
|
|
Image Classification (HP)
|
100% |
2957
549.9 IPS |
|
|
Image Classification (Q)
|
96% |
2032
379.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1576
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2338
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3064
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6905
8.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
16035
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13997
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1670
132.5 IPS |
|
|
Object Detection (HP)
|
97% |
3271
260.4 IPS |
|
|
Object Detection (Q)
|
94% |
2351
187.4 IPS |
|
|
Face Detection (SP)
|
100% |
3157
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6965
82.8 IPS |
|
|
Face Detection (Q)
|
100% |
3888
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6759
52.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12733
98.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8809
68.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20021
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32276
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27057
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4633
171.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5640
208.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4393
162.2 IPS |
|
|
Text Classification (SP)
|
100% |
3239
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5767
7.70 KIPS |
|
|
Text Classification (Q)
|
93% |
5666
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3418
58.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7655
132.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7628
131.8 IPS |
