iPad mini (7th generation)
Geekbench AI Score
4001
Single Precision Score
7262
Half Precision Score
5978
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 14 2026 09:53 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% |
1644
305.8 IPS |
|
|
Image Classification (HP)
|
100% |
2930
545.0 IPS |
|
|
Image Classification (Q)
|
96% |
2035
380.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1572
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2411
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3066
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6846
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
15075
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13676
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1673
132.7 IPS |
|
|
Object Detection (HP)
|
97% |
3326
264.8 IPS |
|
|
Object Detection (Q)
|
94% |
2390
190.5 IPS |
|
|
Face Detection (SP)
|
100% |
3215
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
7005
83.2 IPS |
|
|
Face Detection (Q)
|
100% |
3886
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6586
50.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12767
98.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8985
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19360
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33146
42.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27894
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4471
165.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5703
210.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4402
162.5 IPS |
|
|
Text Classification (SP)
|
99% |
5675
7.57 KIPS |
|
|
Text Classification (HP)
|
100% |
9670
12.9 KIPS |
|
|
Text Classification (Q)
|
93% |
9488
12.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
3418
58.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7051
121.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7029
121.5 IPS |
