iPad mini (7th generation)
Geekbench AI Score
3777
Single Precision Score
6893
Half Precision Score
5688
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 08 2026 07:04 AM |
| Views | 15 |
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% |
1597
297.0 IPS |
|
|
Image Classification (HP)
|
100% |
2977
553.7 IPS |
|
|
Image Classification (Q)
|
96% |
2038
380.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1591
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2354
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3048
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6850
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
15396
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14014
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1655
131.3 IPS |
|
|
Object Detection (HP)
|
97% |
3307
263.3 IPS |
|
|
Object Detection (Q)
|
94% |
2382
189.9 IPS |
|
|
Face Detection (SP)
|
100% |
3186
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6909
82.1 IPS |
|
|
Face Detection (Q)
|
100% |
3880
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6608
50.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12831
99.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9046
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19831
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32951
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27691
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4507
166.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5567
205.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4337
160.2 IPS |
|
|
Text Classification (SP)
|
100% |
3224
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5519
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5406
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3386
58.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7571
130.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7510
129.8 IPS |
