iPad mini (7th generation)
Geekbench AI Score
4188
Single Precision Score
4928
Half Precision Score
4541
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 05 2026 01:20 PM |
| Views | 9 |
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% |
895
166.4 IPS |
|
|
Image Classification (HP)
|
100% |
1413
262.7 IPS |
|
|
Image Classification (Q)
|
94% |
864
161.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3625
58.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3891
63.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3710
60.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12191
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
13970
16.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
13592
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1556
123.5 IPS |
|
|
Object Detection (HP)
|
100% |
1399
111.0 IPS |
|
|
Object Detection (Q)
|
90% |
1605
128.3 IPS |
|
|
Face Detection (SP)
|
100% |
7064
83.9 IPS |
|
|
Face Detection (HP)
|
100% |
9012
107.1 IPS |
|
|
Face Detection (Q)
|
100% |
6838
81.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10524
81.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11398
87.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
10163
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26620
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
30398
39.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30357
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3789
139.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3545
130.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3619
133.6 IPS |
|
|
Text Classification (SP)
|
100% |
3307
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5642
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5549
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1089
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1261
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1260
21.8 IPS |
