iPad mini (7th generation)
Geekbench AI Score
3822
Single Precision Score
6911
Half Precision Score
5699
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 27 2026 11:48 AM |
| Views | 6 |
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% |
1610
299.4 IPS |
|
|
Image Classification (HP)
|
100% |
2920
543.1 IPS |
|
|
Image Classification (Q)
|
96% |
2032
379.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1587
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2373
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3064
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7206
8.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
15739
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13840
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1669
132.4 IPS |
|
|
Object Detection (HP)
|
97% |
3289
261.9 IPS |
|
|
Object Detection (Q)
|
94% |
2354
187.6 IPS |
|
|
Face Detection (SP)
|
100% |
3240
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
6900
82.0 IPS |
|
|
Face Detection (Q)
|
100% |
3900
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6697
51.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12840
99.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9054
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19927
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32690
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27271
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4500
166.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5690
210.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4400
162.5 IPS |
|
|
Text Classification (SP)
|
100% |
3229
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5491
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5462
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3447
59.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7665
132.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7708
133.2 IPS |
