iPad mini (7th generation)
Geekbench AI Score
4586
Single Precision Score
5136
Half Precision Score
5109
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 12 2026 08:52 AM |
| Views | 6 |
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% |
1101
204.8 IPS |
|
|
Image Classification (HP)
|
100% |
1078
200.4 IPS |
|
|
Image Classification (Q)
|
96% |
1379
257.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3709
60.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3914
63.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3688
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12088
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
13962
16.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
13599
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1548
122.8 IPS |
|
|
Object Detection (HP)
|
100% |
1614
128.0 IPS |
|
|
Object Detection (Q)
|
91% |
1393
111.3 IPS |
|
|
Face Detection (SP)
|
100% |
6107
72.6 IPS |
|
|
Face Detection (HP)
|
100% |
8891
105.7 IPS |
|
|
Face Detection (Q)
|
100% |
7467
88.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10443
80.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
10801
83.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
10361
81.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26714
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
30846
39.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30271
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4697
173.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3504
129.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4271
157.7 IPS |
|
|
Text Classification (SP)
|
99% |
5691
7.60 KIPS |
|
|
Text Classification (HP)
|
99% |
9281
12.4 KIPS |
|
|
Text Classification (Q)
|
93% |
9149
12.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
1183
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1396
24.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1376
23.8 IPS |
