iPad mini (7th generation)
Geekbench AI Score
4619
Single Precision Score
5263
Half Precision Score
4989
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 21 2026 12:23 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1121
208.6 IPS |
|
|
Image Classification (HP)
|
100% |
1096
203.7 IPS |
|
|
Image Classification (Q)
|
96% |
953
177.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3641
59.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3888
63.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3660
59.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12163
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
13807
16.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
13381
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1787
141.7 IPS |
|
|
Object Detection (HP)
|
100% |
1558
123.6 IPS |
|
|
Object Detection (Q)
|
91% |
2111
168.7 IPS |
|
|
Face Detection (SP)
|
100% |
5277
62.7 IPS |
|
|
Face Detection (HP)
|
100% |
7406
88.0 IPS |
|
|
Face Detection (Q)
|
100% |
6715
79.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10122
78.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
11035
85.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
10483
82.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25995
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
30852
39.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30273
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4738
175.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4825
178.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3880
143.3 IPS |
|
|
Text Classification (SP)
|
99% |
5768
7.70 KIPS |
|
|
Text Classification (HP)
|
100% |
9692
12.9 KIPS |
|
|
Text Classification (Q)
|
93% |
9161
12.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
1314
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1511
26.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1281
22.1 IPS |
