iPad mini (7th generation)
Geekbench AI Score
3844
Single Precision Score
24249
Half Precision Score
33579
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | mattpippen |
| Upload Date | December 29 2025 03:28 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1612
299.8 IPS |
|
|
Image Classification (HP)
|
100% |
9631
1.79 KIPS |
|
|
Image Classification (Q)
|
97% |
12149
2.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1589
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16564
268.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21515
348.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7405
8.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
105345
122.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
196550
230.4 IPS |
|
|
Object Detection (SP)
|
100% |
1662
131.8 IPS |
|
|
Object Detection (HP)
|
100% |
11821
937.7 IPS |
|
|
Object Detection (Q)
|
91% |
15575
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
3282
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
34918
414.9 IPS |
|
|
Face Detection (Q)
|
100% |
47944
569.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6753
52.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
70636
544.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
114195
892.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19577
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
198783
255.5 IPS |
|
|
Style Transfer (Q)
|
96% |
237506
306.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4761
175.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27003
997.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
49741
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
3160
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
5526
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5433
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3427
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4838
83.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6483
112.0 IPS |
