iPad mini (7th generation)
Geekbench AI Score
4673
Single Precision Score
5417
Half Precision Score
4826
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 25 2026 08:26 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
1147
213.3 IPS |
|
|
Image Classification (HP)
|
100% |
1459
271.3 IPS |
|
|
Image Classification (Q)
|
96% |
924
172.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3559
57.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3864
62.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3693
59.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12204
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
13964
16.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
13624
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1628
129.2 IPS |
|
|
Object Detection (HP)
|
100% |
1637
129.9 IPS |
|
|
Object Detection (Q)
|
91% |
1393
111.3 IPS |
|
|
Face Detection (SP)
|
100% |
6702
79.6 IPS |
|
|
Face Detection (HP)
|
100% |
8907
105.8 IPS |
|
|
Face Detection (Q)
|
100% |
6022
71.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10561
81.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
10825
83.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
10407
81.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26646
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
30596
39.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30262
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4852
179.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4335
160.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4291
158.5 IPS |
|
|
Text Classification (SP)
|
100% |
5725
7.64 KIPS |
|
|
Text Classification (HP)
|
100% |
8861
11.8 KIPS |
|
|
Text Classification (Q)
|
93% |
9484
12.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
1170
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1490
25.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1373
23.7 IPS |
