iPad mini (7th generation)
Geekbench AI Score
4761
Single Precision Score
5159
Half Precision Score
5014
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 14 2026 09:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1469
273.2 IPS |
|
|
Image Classification (HP)
|
100% |
1089
202.4 IPS |
|
|
Image Classification (Q)
|
96% |
897
167.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3634
58.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3849
62.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3664
59.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12101
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
13857
16.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
13427
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1673
132.7 IPS |
|
|
Object Detection (HP)
|
100% |
1821
144.5 IPS |
|
|
Object Detection (Q)
|
91% |
1741
139.2 IPS |
|
|
Face Detection (SP)
|
100% |
6191
73.6 IPS |
|
|
Face Detection (HP)
|
100% |
7518
89.3 IPS |
|
|
Face Detection (Q)
|
100% |
8310
98.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10119
78.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
11026
85.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
10396
81.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26025
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29977
38.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29871
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5001
184.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3746
138.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3530
130.3 IPS |
|
|
Text Classification (SP)
|
99% |
5730
7.65 KIPS |
|
|
Text Classification (HP)
|
99% |
9598
12.8 KIPS |
|
|
Text Classification (Q)
|
93% |
9512
12.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
1187
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1414
24.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1511
26.1 IPS |
