iPad mini (7th generation)
Geekbench AI Score
4127
Single Precision Score
4733
Half Precision Score
4503
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 10 2026 11:05 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
897
166.8 IPS |
|
|
Image Classification (HP)
|
100% |
846
157.3 IPS |
|
|
Image Classification (Q)
|
94% |
888
165.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3598
58.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3908
63.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3721
60.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12161
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14014
16.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
13650
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1454
115.3 IPS |
|
|
Object Detection (HP)
|
100% |
1596
126.6 IPS |
|
|
Object Detection (Q)
|
90% |
1334
106.7 IPS |
|
|
Face Detection (SP)
|
100% |
5407
64.2 IPS |
|
|
Face Detection (HP)
|
100% |
8835
105.0 IPS |
|
|
Face Detection (Q)
|
100% |
6263
74.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10598
81.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
11060
85.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
10174
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26902
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
30643
39.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30392
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4746
175.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3740
138.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4273
157.8 IPS |
|
|
Text Classification (SP)
|
100% |
3203
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5494
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5447
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1073
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1242
21.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1265
21.9 IPS |
