iPad mini (7th generation)
Geekbench AI Score
3726
Single Precision Score
6835
Half Precision Score
5630
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 05 2026 01:18 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1597
297.0 IPS |
|
|
Image Classification (HP)
|
100% |
2933
545.5 IPS |
|
|
Image Classification (Q)
|
96% |
2026
378.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1544
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2334
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3052
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6825
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
15178
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12976
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1612
127.8 IPS |
|
|
Object Detection (HP)
|
97% |
3268
260.2 IPS |
|
|
Object Detection (Q)
|
94% |
2357
187.9 IPS |
|
|
Face Detection (SP)
|
100% |
3232
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
6841
81.3 IPS |
|
|
Face Detection (Q)
|
100% |
3844
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6391
49.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12870
99.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8984
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18957
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
31441
40.4 IPS |
|
|
Style Transfer (Q)
|
96% |
26564
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4516
166.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5584
206.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4325
159.7 IPS |
|
|
Text Classification (SP)
|
100% |
3222
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5630
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5601
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3337
57.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7533
130.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7615
131.6 IPS |
