iPad mini (7th generation)
Geekbench AI Score
4515
Single Precision Score
5136
Half Precision Score
4807
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 07 2026 09:16 AM |
| Views | 4 |
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% |
1446
268.9 IPS |
|
|
Image Classification (HP)
|
100% |
1450
269.7 IPS |
|
|
Image Classification (Q)
|
96% |
1397
260.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3560
57.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3798
61.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3654
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12154
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
13729
16.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
13372
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1804
143.1 IPS |
|
|
Object Detection (HP)
|
100% |
1760
139.6 IPS |
|
|
Object Detection (Q)
|
91% |
1688
134.9 IPS |
|
|
Face Detection (SP)
|
100% |
6262
74.4 IPS |
|
|
Face Detection (HP)
|
100% |
7920
94.1 IPS |
|
|
Face Detection (Q)
|
100% |
6635
78.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10171
78.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
11151
85.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
10408
81.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26012
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29777
38.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29872
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5000
184.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4613
170.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3871
142.9 IPS |
|
|
Text Classification (SP)
|
100% |
3198
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5644
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5622
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1179
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1404
24.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1276
22.1 IPS |
