iPad mini (7th generation)
Geekbench AI Score
3976
Single Precision Score
28339
Half Precision Score
39335
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 14 2026 09:58 AM |
| Views | 4 |
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% |
1647
306.4 IPS |
|
|
Image Classification (HP)
|
100% |
10487
1.95 KIPS |
|
|
Image Classification (Q)
|
97% |
15925
2.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1582
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16642
269.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
22021
357.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6482
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
105740
123.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
206475
242.0 IPS |
|
|
Object Detection (SP)
|
100% |
1695
134.4 IPS |
|
|
Object Detection (HP)
|
100% |
13889
1.10 KIPS |
|
|
Object Detection (Q)
|
89% |
17996
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
3240
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
36129
429.3 IPS |
|
|
Face Detection (Q)
|
100% |
57306
680.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6539
50.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78368
603.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
127105
993.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19225
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
208832
268.5 IPS |
|
|
Style Transfer (Q)
|
96% |
247369
319.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4396
162.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34497
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57228
2.11 KIPS |
|
|
Text Classification (SP)
|
100% |
5728
7.65 KIPS |
|
|
Text Classification (HP)
|
99% |
9621
12.8 KIPS |
|
|
Text Classification (Q)
|
93% |
9081
12.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
3365
58.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6642
114.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7268
125.6 IPS |
