iPad mini (7th generation)
Geekbench AI Score
4000
Single Precision Score
7241
Half Precision Score
5975
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 25 2026 08:24 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
1641
305.1 IPS |
|
|
Image Classification (HP)
|
100% |
2925
543.9 IPS |
|
|
Image Classification (Q)
|
96% |
2018
376.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1566
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2371
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3076
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6886
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
15206
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13798
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1686
133.7 IPS |
|
|
Object Detection (HP)
|
97% |
3301
262.8 IPS |
|
|
Object Detection (Q)
|
94% |
2362
188.2 IPS |
|
|
Face Detection (SP)
|
100% |
3170
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6935
82.4 IPS |
|
|
Face Detection (Q)
|
100% |
3891
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6548
50.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12798
98.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8971
70.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19803
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32987
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27769
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4443
164.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5630
207.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4357
160.9 IPS |
|
|
Text Classification (SP)
|
99% |
5677
7.58 KIPS |
|
|
Text Classification (HP)
|
99% |
9724
13.0 KIPS |
|
|
Text Classification (Q)
|
92% |
9627
12.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
3391
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7108
122.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7058
122.0 IPS |
