iPad mini (7th generation)
Geekbench AI Score
3833
Single Precision Score
26626
Half Precision Score
35964
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 03 2026 01:53 PM |
| Views | 8 |
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% |
1619
301.1 IPS |
|
|
Image Classification (HP)
|
100% |
10625
1.98 KIPS |
|
|
Image Classification (Q)
|
97% |
14927
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1596
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16549
268.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21599
350.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7069
8.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
103339
120.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
204276
239.4 IPS |
|
|
Object Detection (SP)
|
100% |
1689
134.0 IPS |
|
|
Object Detection (HP)
|
100% |
13470
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
17286
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3267
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
34981
415.7 IPS |
|
|
Face Detection (Q)
|
100% |
48048
570.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6701
51.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
77726
598.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
121757
952.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20076
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
210392
270.5 IPS |
|
|
Style Transfer (Q)
|
96% |
249482
321.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4548
167.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34628
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56873
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3213
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5709
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5602
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3459
59.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6471
111.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6838
118.2 IPS |
