iPad mini (7th generation)
Geekbench AI Score
3746
Single Precision Score
26759
Half Precision Score
36480
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 14 2026 08:50 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1596
296.9 IPS |
|
|
Image Classification (HP)
|
100% |
10652
1.98 KIPS |
|
|
Image Classification (Q)
|
97% |
15792
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1572
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15786
255.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
21308
345.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6581
7.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
106176
123.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
206888
242.5 IPS |
|
|
Object Detection (SP)
|
100% |
1663
131.9 IPS |
|
|
Object Detection (HP)
|
100% |
13902
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18159
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
3165
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
34599
411.1 IPS |
|
|
Face Detection (Q)
|
100% |
47840
568.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6566
50.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78263
603.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
119556
934.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19660
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
210534
270.6 IPS |
|
|
Style Transfer (Q)
|
96% |
250388
323.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4465
164.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34573
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55709
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3249
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5745
7.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5647
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3346
57.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6698
115.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7330
126.7 IPS |
