iPad mini (7th generation)
Geekbench AI Score
4122
Single Precision Score
28513
Half Precision Score
38770
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 01 2026 09:08 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1655
307.8 IPS |
|
|
Image Classification (HP)
|
100% |
11090
2.06 KIPS |
|
|
Image Classification (Q)
|
97% |
14825
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1608
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16558
268.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
21977
356.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7257
8.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
108027
126.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
206817
242.4 IPS |
|
|
Object Detection (SP)
|
100% |
1723
136.7 IPS |
|
|
Object Detection (HP)
|
100% |
14110
1.12 KIPS |
|
|
Object Detection (Q)
|
89% |
19635
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
3332
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
35412
420.8 IPS |
|
|
Face Detection (Q)
|
100% |
53005
629.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6891
53.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
78602
605.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
127962
999.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20485
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
209066
268.8 IPS |
|
|
Style Transfer (Q)
|
96% |
248891
321.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4562
168.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36521
1.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54839
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
5849
7.81 KIPS |
|
|
Text Classification (HP)
|
99% |
9422
12.6 KIPS |
|
|
Text Classification (Q)
|
92% |
9103
12.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
3392
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6339
109.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6882
118.9 IPS |
