iPad mini (7th generation)
Geekbench AI Score
4230
Single Precision Score
4822
Half Precision Score
4528
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 13 2026 06:37 PM |
| Views | 5 |
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% |
1018
189.3 IPS |
|
|
Image Classification (HP)
|
100% |
1411
262.3 IPS |
|
|
Image Classification (Q)
|
94% |
883
165.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3622
58.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3917
63.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3718
60.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12009
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
13886
16.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
13515
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1603
127.2 IPS |
|
|
Object Detection (HP)
|
100% |
1471
116.7 IPS |
|
|
Object Detection (Q)
|
90% |
1363
109.0 IPS |
|
|
Face Detection (SP)
|
100% |
6847
81.4 IPS |
|
|
Face Detection (HP)
|
100% |
6620
78.7 IPS |
|
|
Face Detection (Q)
|
100% |
6208
73.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10532
81.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11024
84.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
10203
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26716
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
30607
39.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30293
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3901
144.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3878
143.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4563
168.5 IPS |
|
|
Text Classification (SP)
|
100% |
3247
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5493
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5542
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1061
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1267
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1236
21.4 IPS |
