iPad mini (7th generation)
Geekbench AI Score
3803
Single Precision Score
26923
Half Precision Score
35955
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 28 2026 12:02 PM |
| Views | 5 |
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% |
1597
297.0 IPS |
|
|
Image Classification (HP)
|
100% |
11582
2.15 KIPS |
|
|
Image Classification (Q)
|
97% |
14223
2.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1579
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16654
270.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
21596
350.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6874
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
105710
123.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
207886
243.7 IPS |
|
|
Object Detection (SP)
|
100% |
1684
133.6 IPS |
|
|
Object Detection (HP)
|
100% |
13947
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
17823
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3243
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
34869
414.3 IPS |
|
|
Face Detection (Q)
|
100% |
47984
570.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6772
52.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
78740
606.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
121308
948.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19841
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
208001
267.4 IPS |
|
|
Style Transfer (Q)
|
96% |
248810
321.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4474
165.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34701
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52661
1.94 KIPS |
|
|
Text Classification (SP)
|
100% |
3284
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5514
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5576
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3394
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6440
110.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7461
128.9 IPS |
