iPad mini (7th generation)
Geekbench AI Score
4044
Single Precision Score
28606
Half Precision Score
38719
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 12 2026 08:53 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1652
307.1 IPS |
|
|
Image Classification (HP)
|
100% |
11231
2.09 KIPS |
|
|
Image Classification (Q)
|
97% |
14228
2.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1586
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16751
271.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21947
355.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6771
7.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
106715
124.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
207392
243.1 IPS |
|
|
Object Detection (SP)
|
100% |
1708
135.5 IPS |
|
|
Object Detection (HP)
|
100% |
14075
1.12 KIPS |
|
|
Object Detection (Q)
|
89% |
18311
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
3272
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
35764
425.0 IPS |
|
|
Face Detection (Q)
|
100% |
54774
650.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6789
52.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78463
604.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
127537
996.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20081
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
208072
267.5 IPS |
|
|
Style Transfer (Q)
|
96% |
249502
322.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4540
167.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36466
1.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56799
2.10 KIPS |
|
|
Text Classification (SP)
|
99% |
5677
7.58 KIPS |
|
|
Text Classification (HP)
|
99% |
9386
12.5 KIPS |
|
|
Text Classification (Q)
|
93% |
9111
12.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
3359
57.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6499
112.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7081
122.4 IPS |
