iPad mini (7th generation)
Geekbench AI Score
4605
Single Precision Score
5160
Half Precision Score
5029
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 01 2026 09:56 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
1083
201.3 IPS |
|
|
Image Classification (HP)
|
100% |
980
182.2 IPS |
|
|
Image Classification (Q)
|
96% |
1051
196.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3595
58.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3947
64.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3637
59.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11949
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
13807
16.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
13359
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1600
126.9 IPS |
|
|
Object Detection (HP)
|
100% |
1722
136.6 IPS |
|
|
Object Detection (Q)
|
91% |
1691
135.1 IPS |
|
|
Face Detection (SP)
|
100% |
5806
69.0 IPS |
|
|
Face Detection (HP)
|
100% |
6691
79.5 IPS |
|
|
Face Detection (Q)
|
100% |
7031
83.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10146
78.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
10966
84.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
10484
82.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25956
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29727
38.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29933
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4975
183.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4933
182.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3806
140.5 IPS |
|
|
Text Classification (SP)
|
99% |
5622
7.50 KIPS |
|
|
Text Classification (HP)
|
100% |
9628
12.9 KIPS |
|
|
Text Classification (Q)
|
92% |
9440
12.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
1349
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1407
24.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1513
26.1 IPS |
