iPad mini (7th generation)
Geekbench AI Score
3862
Single Precision Score
6925
Half Precision Score
5714
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 10 2026 11:03 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1608
299.0 IPS |
|
|
Image Classification (HP)
|
100% |
2959
550.3 IPS |
|
|
Image Classification (Q)
|
96% |
2030
379.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1586
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2311
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3067
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7741
9.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
16293
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13736
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1635
129.7 IPS |
|
|
Object Detection (HP)
|
97% |
3246
258.4 IPS |
|
|
Object Detection (Q)
|
94% |
2376
189.4 IPS |
|
|
Face Detection (SP)
|
100% |
3237
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
6921
82.2 IPS |
|
|
Face Detection (Q)
|
100% |
3879
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6833
52.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12874
99.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9089
71.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20960
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33003
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27824
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4543
167.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5645
208.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4369
161.3 IPS |
|
|
Text Classification (SP)
|
100% |
3228
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5580
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5544
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3368
58.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7573
130.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7687
132.8 IPS |
