iPad mini (7th generation)
Geekbench AI Score
4064
Single Precision Score
7307
Half Precision Score
5978
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 01 2026 09:01 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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% |
1662
309.1 IPS |
|
|
Image Classification (HP)
|
100% |
2962
550.9 IPS |
|
|
Image Classification (Q)
|
96% |
2043
381.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1614
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2428
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3095
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7019
8.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
15767
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13909
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1701
134.9 IPS |
|
|
Object Detection (HP)
|
97% |
3329
265.0 IPS |
|
|
Object Detection (Q)
|
94% |
2391
190.6 IPS |
|
|
Face Detection (SP)
|
100% |
3314
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
6962
82.7 IPS |
|
|
Face Detection (Q)
|
100% |
3926
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6739
51.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12966
100.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9159
71.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19793
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33589
43.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28209
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4468
165.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5624
207.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4391
162.1 IPS |
|
|
Text Classification (SP)
|
99% |
5665
7.56 KIPS |
|
|
Text Classification (HP)
|
99% |
9691
12.9 KIPS |
|
|
Text Classification (Q)
|
92% |
8898
12.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
3430
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6962
120.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6994
120.9 IPS |
