iPad mini (7th generation)
Geekbench AI Score
4573
Single Precision Score
5141
Half Precision Score
5038
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 31 2026 11:53 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1464
272.2 IPS |
|
|
Image Classification (HP)
|
100% |
1050
195.2 IPS |
|
|
Image Classification (Q)
|
96% |
1039
194.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3585
58.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3877
62.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3717
60.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12179
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
13597
15.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
13402
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (HP)
|
100% |
1805
143.2 IPS |
|
|
Object Detection (Q)
|
91% |
1694
135.4 IPS |
|
|
Face Detection (SP)
|
100% |
4980
59.2 IPS |
|
|
Face Detection (HP)
|
100% |
6386
75.9 IPS |
|
|
Face Detection (Q)
|
100% |
8354
99.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10150
78.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11033
85.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
10462
81.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25374
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
30316
39.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29902
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4862
179.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4124
152.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3725
137.6 IPS |
|
|
Text Classification (SP)
|
99% |
5689
7.59 KIPS |
|
|
Text Classification (HP)
|
100% |
8974
12.0 KIPS |
|
|
Text Classification (Q)
|
93% |
9024
12.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
1167
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1633
28.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1368
23.6 IPS |
