iPad mini (7th generation)
Geekbench AI Score
3741
Single Precision Score
6829
Half Precision Score
5663
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 13 2026 06:35 PM |
| Views | 4 |
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% |
1581
294.1 IPS |
|
|
Image Classification (HP)
|
100% |
2968
551.9 IPS |
|
|
Image Classification (Q)
|
96% |
2044
381.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1566
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2332
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3056
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6684
7.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
14658
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13356
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1640
130.1 IPS |
|
|
Object Detection (HP)
|
97% |
3252
258.9 IPS |
|
|
Object Detection (Q)
|
94% |
2361
188.2 IPS |
|
|
Face Detection (SP)
|
100% |
3232
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
6920
82.2 IPS |
|
|
Face Detection (Q)
|
100% |
3841
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6609
50.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12810
99.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9027
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19242
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32186
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27178
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4429
163.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5587
206.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4343
160.4 IPS |
|
|
Text Classification (SP)
|
100% |
3235
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5564
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5561
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3366
58.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7547
130.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7577
130.9 IPS |
