iPad mini (7th generation)
Geekbench AI Score
4038
Single Precision Score
7243
Half Precision Score
5979
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 31 2026 11:50 AM |
| Views | 7 |
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% |
1660
308.7 IPS |
|
|
Image Classification (HP)
|
100% |
2936
546.0 IPS |
|
|
Image Classification (Q)
|
96% |
2033
379.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1593
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2418
39.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3093
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6787
7.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
15504
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13680
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1688
133.9 IPS |
|
|
Object Detection (HP)
|
97% |
3311
263.6 IPS |
|
|
Object Detection (Q)
|
94% |
2365
188.5 IPS |
|
|
Face Detection (SP)
|
100% |
3334
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
6978
82.9 IPS |
|
|
Face Detection (Q)
|
100% |
3894
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6649
51.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12892
99.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9038
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19687
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33338
42.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27668
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4376
161.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5674
209.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4394
162.3 IPS |
|
|
Text Classification (SP)
|
99% |
5819
7.77 KIPS |
|
|
Text Classification (HP)
|
99% |
9049
12.1 KIPS |
|
|
Text Classification (Q)
|
92% |
9560
12.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
3424
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7088
122.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7027
121.4 IPS |
