iPad mini (7th generation)
Geekbench AI Score
4344
Single Precision Score
4682
Half Precision Score
4691
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 13 2026 01:34 PM |
| Views | 3 |
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% |
1380
256.6 IPS |
|
|
Image Classification (HP)
|
100% |
912
169.6 IPS |
|
|
Image Classification (Q)
|
94% |
1336
249.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3615
58.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3781
61.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3715
60.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12016
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
13776
16.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
13511
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1630
129.3 IPS |
|
|
Object Detection (HP)
|
100% |
1580
125.3 IPS |
|
|
Object Detection (Q)
|
90% |
1707
136.5 IPS |
|
|
Face Detection (SP)
|
100% |
5527
65.7 IPS |
|
|
Face Detection (HP)
|
100% |
7539
89.6 IPS |
|
|
Face Detection (Q)
|
100% |
5752
68.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10247
78.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11192
86.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
10222
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26286
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
30043
38.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30303
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4663
172.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4057
149.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3652
134.8 IPS |
|
|
Text Classification (SP)
|
100% |
3233
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5342
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5503
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1093
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1230
21.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1259
21.8 IPS |
