iPad mini (7th generation)
Geekbench AI Score
4420
Single Precision Score
4839
Half Precision Score
4942
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 27 2026 11:51 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1450
269.7 IPS |
|
|
Image Classification (HP)
|
100% |
983
182.9 IPS |
|
|
Image Classification (Q)
|
96% |
1397
260.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3602
58.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3850
62.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3690
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12253
14.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
14109
16.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
13552
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1551
123.0 IPS |
|
|
Object Detection (HP)
|
100% |
1646
130.5 IPS |
|
|
Object Detection (Q)
|
91% |
1707
136.5 IPS |
|
|
Face Detection (SP)
|
100% |
5967
70.9 IPS |
|
|
Face Detection (HP)
|
100% |
7249
86.1 IPS |
|
|
Face Detection (Q)
|
100% |
6975
82.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10288
79.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11173
86.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
10555
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26106
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
30963
39.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29977
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4788
176.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4126
152.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3949
145.8 IPS |
|
|
Text Classification (SP)
|
100% |
3203
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5568
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5548
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1167
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1393
24.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1509
26.1 IPS |
