iPad mini (7th generation)
Geekbench AI Score
4638
Single Precision Score
4972
Half Precision Score
4974
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 09:31 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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% |
1129
209.9 IPS |
|
|
Image Classification (HP)
|
100% |
910
169.2 IPS |
|
|
Image Classification (Q)
|
96% |
1059
197.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3571
57.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3831
62.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3697
59.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12154
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
13992
16.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
13621
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1564
124.1 IPS |
|
|
Object Detection (HP)
|
100% |
1649
130.8 IPS |
|
|
Object Detection (Q)
|
91% |
1597
127.6 IPS |
|
|
Face Detection (SP)
|
100% |
6930
82.3 IPS |
|
|
Face Detection (HP)
|
100% |
6767
80.4 IPS |
|
|
Face Detection (Q)
|
100% |
7518
89.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10130
78.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
10891
83.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
10399
81.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26646
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
30663
39.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30232
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4699
173.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3661
135.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3602
133.0 IPS |
|
|
Text Classification (SP)
|
99% |
5799
7.74 KIPS |
|
|
Text Classification (HP)
|
99% |
9243
12.3 KIPS |
|
|
Text Classification (Q)
|
93% |
9240
12.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
1181
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1501
25.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1386
23.9 IPS |
