iPad mini (7th generation)
Geekbench AI Score
4039
Single Precision Score
7269
Half Precision Score
5976
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 09:29 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1650
306.8 IPS |
|
|
Image Classification (HP)
|
100% |
2980
554.2 IPS |
|
|
Image Classification (Q)
|
96% |
2047
382.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1596
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2394
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3090
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6962
8.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
15459
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13840
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1680
133.3 IPS |
|
|
Object Detection (HP)
|
97% |
3305
263.1 IPS |
|
|
Object Detection (Q)
|
94% |
2386
190.2 IPS |
|
|
Face Detection (SP)
|
100% |
3279
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
6962
82.7 IPS |
|
|
Face Detection (Q)
|
100% |
3885
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6728
51.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13021
100.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9110
71.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19944
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33283
42.8 IPS |
|
|
Style Transfer (Q)
|
96% |
27978
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4431
163.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5647
208.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4357
160.9 IPS |
|
|
Text Classification (SP)
|
100% |
5684
7.59 KIPS |
|
|
Text Classification (HP)
|
100% |
9488
12.7 KIPS |
|
|
Text Classification (Q)
|
93% |
9162
12.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
3390
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6995
120.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7042
121.7 IPS |
