iPad mini (7th generation)
Geekbench AI Score
4033
Single Precision Score
7167
Half Precision Score
5934
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 21 2026 08:12 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1669
310.5 IPS |
|
|
Image Classification (HP)
|
100% |
2920
543.1 IPS |
|
|
Image Classification (Q)
|
96% |
2052
383.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1606
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2392
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3087
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7001
8.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
14656
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13325
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1683
133.5 IPS |
|
|
Object Detection (HP)
|
97% |
3316
264.0 IPS |
|
|
Object Detection (Q)
|
94% |
2383
190.0 IPS |
|
|
Face Detection (SP)
|
100% |
3280
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
6890
81.9 IPS |
|
|
Face Detection (Q)
|
100% |
3883
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6584
50.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12786
98.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8998
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19345
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32958
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27342
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4429
163.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5206
192.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4093
151.1 IPS |
|
|
Text Classification (SP)
|
99% |
5693
7.60 KIPS |
|
|
Text Classification (HP)
|
99% |
9714
13.0 KIPS |
|
|
Text Classification (Q)
|
93% |
9644
12.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
3423
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7181
124.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7143
123.4 IPS |
