iPad mini (7th generation)
Geekbench AI Score
3858
Single Precision Score
26747
Half Precision Score
35901
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 05 2026 01:22 PM |
| Views | 14 |
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% |
1594
296.5 IPS |
|
|
Image Classification (HP)
|
100% |
11120
2.07 KIPS |
|
|
Image Classification (Q)
|
97% |
14090
2.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1586
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16688
270.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21672
351.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7379
8.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
106714
124.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
204505
239.7 IPS |
|
|
Object Detection (SP)
|
100% |
1690
134.0 IPS |
|
|
Object Detection (HP)
|
100% |
13566
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
17774
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3234
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
34530
410.3 IPS |
|
|
Face Detection (Q)
|
100% |
47962
569.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6849
52.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
78317
603.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
121884
952.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20793
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
205060
263.6 IPS |
|
|
Style Transfer (Q)
|
96% |
246171
317.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4614
170.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34711
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55118
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3238
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5628
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5608
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3368
58.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6439
110.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7206
124.5 IPS |
