iPad mini (7th generation)
Geekbench AI Score
4148
Single Precision Score
4901
Half Precision Score
4708
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 03 2026 01:51 PM |
| Views | 11 |
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% |
871
162.0 IPS |
|
|
Image Classification (HP)
|
100% |
913
169.7 IPS |
|
|
Image Classification (Q)
|
94% |
1375
257.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3659
59.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3792
61.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3746
60.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11986
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
13999
16.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
13433
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1597
126.7 IPS |
|
|
Object Detection (HP)
|
100% |
2157
171.1 IPS |
|
|
Object Detection (Q)
|
90% |
1541
123.2 IPS |
|
|
Face Detection (SP)
|
100% |
5525
65.6 IPS |
|
|
Face Detection (HP)
|
100% |
7859
93.4 IPS |
|
|
Face Detection (Q)
|
100% |
6338
75.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10242
78.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11223
86.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
10214
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25862
33.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29960
38.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29873
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4570
168.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4031
148.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3578
132.1 IPS |
|
|
Text Classification (SP)
|
100% |
3225
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5623
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5433
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1147
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1277
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1335
23.1 IPS |
