iPad mini (7th generation)
Geekbench AI Score
3834
Single Precision Score
6999
Half Precision Score
5736
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | megaspaz |
| Upload Date | March 17 2026 06:00 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| Model | iPad mini (7th generation) |
| Model ID | iPad16,2 |
| Motherboard | J411AP |
| 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% |
1612
299.8 IPS |
|
|
Image Classification (HP)
|
100% |
2981
554.3 IPS |
|
|
Image Classification (Q)
|
96% |
2045
381.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1598
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2333
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3064
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7391
8.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
16264
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14281
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1655
131.3 IPS |
|
|
Object Detection (HP)
|
97% |
3297
262.5 IPS |
|
|
Object Detection (Q)
|
94% |
2380
189.7 IPS |
|
|
Face Detection (SP)
|
100% |
3160
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6970
82.8 IPS |
|
|
Face Detection (Q)
|
100% |
3925
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6726
51.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12925
99.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9033
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20263
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33394
42.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27953
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4619
170.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5665
209.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4399
162.4 IPS |
|
|
Text Classification (SP)
|
100% |
3284
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5851
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5486
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3338
57.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7595
131.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7574
130.9 IPS |
