iPad mini (7th generation)
Geekbench AI Score
4801
Single Precision Score
5310
Half Precision Score
5089
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 08 2026 08:48 AM |
| Views | 5 |
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% |
1464
272.3 IPS |
|
|
Image Classification (HP)
|
100% |
1470
273.4 IPS |
|
|
Image Classification (Q)
|
96% |
1419
265.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3583
58.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3838
62.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3703
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12176
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14036
16.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
13448
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
2090
165.8 IPS |
|
|
Object Detection (HP)
|
100% |
1653
131.1 IPS |
|
|
Object Detection (Q)
|
91% |
1862
148.8 IPS |
|
|
Face Detection (SP)
|
100% |
5473
65.0 IPS |
|
|
Face Detection (HP)
|
100% |
7428
88.3 IPS |
|
|
Face Detection (Q)
|
100% |
6927
82.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10131
78.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11126
85.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
10507
82.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26071
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29990
38.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30400
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4940
182.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4023
148.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3480
128.5 IPS |
|
|
Text Classification (SP)
|
100% |
5703
7.61 KIPS |
|
|
Text Classification (HP)
|
100% |
8937
11.9 KIPS |
|
|
Text Classification (Q)
|
93% |
8952
12.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1198
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1529
26.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1285
22.2 IPS |
