iPad mini (7th generation)
Geekbench AI Score
4207
Single Precision Score
4985
Half Precision Score
4766
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 08 2026 07:06 AM |
| Views | 13 |
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% |
1201
223.3 IPS |
|
|
Image Classification (HP)
|
100% |
1298
241.4 IPS |
|
|
Image Classification (Q)
|
96% |
1402
261.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3601
58.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3778
61.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3693
59.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12177
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
13983
16.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
13565
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1357
107.6 IPS |
|
|
Object Detection (HP)
|
100% |
1463
116.0 IPS |
|
|
Object Detection (Q)
|
91% |
1474
117.8 IPS |
|
|
Face Detection (SP)
|
100% |
6770
80.4 IPS |
|
|
Face Detection (HP)
|
100% |
8879
105.5 IPS |
|
|
Face Detection (Q)
|
100% |
6040
71.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10394
80.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11376
87.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
10261
80.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26596
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
30447
39.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30072
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3487
128.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3768
139.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3872
143.0 IPS |
|
|
Text Classification (SP)
|
100% |
3217
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5573
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5433
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1159
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1465
25.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1490
25.7 IPS |
