iPad mini (7th generation)
Geekbench AI Score
3883
Single Precision Score
6943
Half Precision Score
5745
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 17 2026 10:16 PM |
| Views | 2 |
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% |
1614
300.2 IPS |
|
|
Image Classification (HP)
|
100% |
2955
549.5 IPS |
|
|
Image Classification (Q)
|
96% |
2032
379.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1608
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2365
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3065
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7612
8.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
15859
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14155
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1680
133.2 IPS |
|
|
Object Detection (HP)
|
97% |
3273
260.6 IPS |
|
|
Object Detection (Q)
|
94% |
2374
189.3 IPS |
|
|
Face Detection (SP)
|
100% |
3294
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
6977
82.9 IPS |
|
|
Face Detection (Q)
|
100% |
3937
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6834
52.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12900
99.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9074
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20153
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33600
43.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27694
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4684
173.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5786
213.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4396
162.3 IPS |
|
|
Text Classification (SP)
|
100% |
3218
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5408
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5562
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3434
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7593
131.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7747
133.9 IPS |
