iPad mini (7th generation)
Geekbench AI Score
3875
Single Precision Score
7047
Half Precision Score
5744
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | alfred_heinze |
| Upload Date | January 16 2026 11:53 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1606
298.7 IPS |
|
|
Image Classification (HP)
|
100% |
2953
549.1 IPS |
|
|
Image Classification (Q)
|
96% |
2046
382.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1585
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2343
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3070
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7567
8.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
16504
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14052
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1692
134.2 IPS |
|
|
Object Detection (HP)
|
97% |
3304
263.0 IPS |
|
|
Object Detection (Q)
|
94% |
2381
189.8 IPS |
|
|
Face Detection (SP)
|
100% |
3222
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
7000
83.2 IPS |
|
|
Face Detection (Q)
|
100% |
3934
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6730
51.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12876
99.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9046
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21271
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33961
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27906
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4696
173.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6161
227.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4381
161.8 IPS |
|
|
Text Classification (SP)
|
100% |
3204
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5678
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5585
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3379
58.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7485
129.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7659
132.4 IPS |
