iPad mini (7th generation)
Geekbench AI Score
4029
Single Precision Score
7273
Half Precision Score
5968
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 01:25 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% |
1660
308.6 IPS |
|
|
Image Classification (HP)
|
100% |
2900
539.4 IPS |
|
|
Image Classification (Q)
|
96% |
2048
382.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1594
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2406
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3085
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7042
8.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
15696
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13539
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1693
134.3 IPS |
|
|
Object Detection (HP)
|
97% |
3308
263.4 IPS |
|
|
Object Detection (Q)
|
94% |
2386
190.2 IPS |
|
|
Face Detection (SP)
|
100% |
3264
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
6960
82.7 IPS |
|
|
Face Detection (Q)
|
100% |
3873
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6660
51.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12844
99.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9060
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19323
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33436
43.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27766
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4375
161.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5676
209.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4407
162.7 IPS |
|
|
Text Classification (SP)
|
100% |
5750
7.67 KIPS |
|
|
Text Classification (HP)
|
100% |
9580
12.8 KIPS |
|
|
Text Classification (Q)
|
93% |
9282
12.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
3389
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7037
121.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7058
122.0 IPS |
