iPad mini (7th generation)
Geekbench AI Score
4388
Single Precision Score
5006
Half Precision Score
4838
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 14 2026 08:48 AM |
| Views | 3 |
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% |
1059
196.9 IPS |
|
|
Image Classification (HP)
|
100% |
1449
269.5 IPS |
|
|
Image Classification (Q)
|
96% |
994
185.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3651
59.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3839
62.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3792
61.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12112
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
13940
16.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
13574
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1733
137.5 IPS |
|
|
Object Detection (HP)
|
100% |
1470
116.6 IPS |
|
|
Object Detection (Q)
|
91% |
1482
118.4 IPS |
|
|
Face Detection (SP)
|
100% |
6928
82.3 IPS |
|
|
Face Detection (HP)
|
100% |
8314
98.8 IPS |
|
|
Face Detection (Q)
|
100% |
7681
91.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10067
77.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
10978
84.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
10580
82.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26508
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
30518
39.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30065
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4728
174.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3982
147.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4564
168.5 IPS |
|
|
Text Classification (SP)
|
100% |
3224
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5622
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5554
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1159
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1393
24.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1497
25.9 IPS |
