iPad mini (7th generation)
Geekbench AI Score
3723
Single Precision Score
6836
Half Precision Score
5670
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 28 2026 11:58 AM |
| Views | 7 |
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% |
1589
295.6 IPS |
|
|
Image Classification (HP)
|
100% |
2960
550.5 IPS |
|
|
Image Classification (Q)
|
96% |
2048
382.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1561
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2344
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3064
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6673
7.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
15108
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13343
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1606
127.4 IPS |
|
|
Object Detection (HP)
|
97% |
3241
258.0 IPS |
|
|
Object Detection (Q)
|
94% |
2338
186.3 IPS |
|
|
Face Detection (SP)
|
100% |
3082
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
6902
82.0 IPS |
|
|
Face Detection (Q)
|
100% |
3846
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6579
50.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12910
99.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9024
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19408
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32008
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26891
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4448
164.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5514
203.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4314
159.3 IPS |
|
|
Text Classification (SP)
|
100% |
3232
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5594
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5759
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3405
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7466
129.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7573
130.9 IPS |
