iPad mini (7th generation)
Geekbench AI Score
4127
Single Precision Score
4897
Half Precision Score
4738
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | alfred_heinze |
| Upload Date | January 16 2026 11:57 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
897
166.7 IPS |
|
|
Image Classification (HP)
|
100% |
1362
253.2 IPS |
|
|
Image Classification (Q)
|
96% |
1311
244.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3540
57.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3779
61.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3637
59.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12164
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
13978
16.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
13425
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1555
123.3 IPS |
|
|
Object Detection (HP)
|
100% |
1588
126.0 IPS |
|
|
Object Detection (Q)
|
92% |
1626
129.8 IPS |
|
|
Face Detection (SP)
|
100% |
5322
63.2 IPS |
|
|
Face Detection (HP)
|
100% |
7413
88.1 IPS |
|
|
Face Detection (Q)
|
100% |
6034
71.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10174
78.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
11145
85.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10191
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25986
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
30341
39.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30596
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4714
174.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3927
145.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3793
140.1 IPS |
|
|
Text Classification (SP)
|
100% |
3166
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5559
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5554
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1138
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1270
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1382
23.9 IPS |
