iPad mini (7th generation)
Geekbench AI Score
4608
Single Precision Score
5171
Half Precision Score
5303
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 29 2026 09:04 AM |
| Views | 7 |
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% |
1079
200.7 IPS |
|
|
Image Classification (HP)
|
100% |
1029
191.4 IPS |
|
|
Image Classification (Q)
|
96% |
1128
210.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3587
58.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3882
62.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3615
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12209
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
13933
16.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
13580
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1704
135.2 IPS |
|
|
Object Detection (HP)
|
100% |
1536
121.8 IPS |
|
|
Object Detection (Q)
|
91% |
2243
179.2 IPS |
|
|
Face Detection (SP)
|
100% |
5996
71.2 IPS |
|
|
Face Detection (HP)
|
100% |
8538
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
7119
84.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10574
81.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
10814
83.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
10278
80.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26729
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
30770
39.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30122
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4694
173.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3859
142.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4561
168.4 IPS |
|
|
Text Classification (SP)
|
100% |
5700
7.61 KIPS |
|
|
Text Classification (HP)
|
100% |
9810
13.1 KIPS |
|
|
Text Classification (Q)
|
93% |
9360
12.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
1183
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1488
25.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1505
26.0 IPS |
