iPad mini (7th generation)
Geekbench AI Score
4040
Single Precision Score
7284
Half Precision Score
5988
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 08 2026 08:45 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1643
305.6 IPS |
|
|
Image Classification (HP)
|
100% |
2901
539.6 IPS |
|
|
Image Classification (Q)
|
96% |
2024
378.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1591
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2394
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3079
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7124
8.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
15620
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13693
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1705
135.2 IPS |
|
|
Object Detection (HP)
|
97% |
3309
263.4 IPS |
|
|
Object Detection (Q)
|
94% |
2377
189.5 IPS |
|
|
Face Detection (SP)
|
100% |
3204
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
6851
81.4 IPS |
|
|
Face Detection (Q)
|
100% |
3883
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6545
50.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12789
98.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8985
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19551
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33603
43.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27918
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4496
166.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5589
206.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4393
162.2 IPS |
|
|
Text Classification (SP)
|
100% |
5713
7.63 KIPS |
|
|
Text Classification (HP)
|
99% |
9551
12.7 KIPS |
|
|
Text Classification (Q)
|
93% |
9547
12.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
3470
59.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7455
128.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7162
123.8 IPS |
