iPad mini (7th generation)
Geekbench AI Score
3797
Single Precision Score
27097
Half Precision Score
36178
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 13 2026 06:39 PM |
| Views | 4 |
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% |
1602
297.8 IPS |
|
|
Image Classification (HP)
|
100% |
10885
2.02 KIPS |
|
|
Image Classification (Q)
|
97% |
14488
2.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1576
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16604
269.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
21816
353.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6745
7.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
107525
125.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
208267
244.1 IPS |
|
|
Object Detection (SP)
|
100% |
1675
132.8 IPS |
|
|
Object Detection (HP)
|
100% |
13938
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
17964
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
3282
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
34667
411.9 IPS |
|
|
Face Detection (Q)
|
100% |
47390
563.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6817
52.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
79006
608.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
119697
935.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19826
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
206420
265.4 IPS |
|
|
Style Transfer (Q)
|
96% |
249620
322.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4560
168.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37395
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57882
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3232
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5586
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5616
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3341
57.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6673
114.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7058
122.0 IPS |
