iPad mini (7th generation)
Geekbench AI Score
4074
Single Precision Score
28785
Half Precision Score
38787
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 09:33 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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% |
1656
307.9 IPS |
|
|
Image Classification (HP)
|
100% |
11428
2.13 KIPS |
|
|
Image Classification (Q)
|
97% |
14575
2.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1603
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16849
273.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
22058
357.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7057
8.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
107239
125.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
208031
243.8 IPS |
|
|
Object Detection (SP)
|
100% |
1713
135.9 IPS |
|
|
Object Detection (HP)
|
100% |
14182
1.12 KIPS |
|
|
Object Detection (Q)
|
89% |
18738
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3221
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
37822
449.4 IPS |
|
|
Face Detection (Q)
|
100% |
53204
632.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6869
52.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
78575
605.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
126808
990.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20152
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
209442
269.2 IPS |
|
|
Style Transfer (Q)
|
96% |
247440
319.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4566
168.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34552
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57590
2.13 KIPS |
|
|
Text Classification (SP)
|
99% |
5766
7.70 KIPS |
|
|
Text Classification (HP)
|
99% |
9478
12.7 KIPS |
|
|
Text Classification (Q)
|
93% |
8897
11.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
3351
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6544
112.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7190
124.3 IPS |
