iPad mini (7th generation)
Geekbench AI Score
3991
Single Precision Score
28416
Half Precision Score
39629
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 25 2026 08:28 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1639
304.8 IPS |
|
|
Image Classification (HP)
|
100% |
10443
1.94 KIPS |
|
|
Image Classification (Q)
|
97% |
15808
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1577
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16767
271.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21892
354.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6527
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
103921
121.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
205938
241.4 IPS |
|
|
Object Detection (SP)
|
100% |
1699
134.7 IPS |
|
|
Object Detection (HP)
|
100% |
13874
1.10 KIPS |
|
|
Object Detection (Q)
|
89% |
18808
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3234
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
36105
429.0 IPS |
|
|
Face Detection (Q)
|
100% |
56475
671.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6587
50.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
79033
608.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
126951
992.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19401
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
211397
271.8 IPS |
|
|
Style Transfer (Q)
|
96% |
251866
325.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4519
166.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35511
1.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57304
2.12 KIPS |
|
|
Text Classification (SP)
|
99% |
5734
7.65 KIPS |
|
|
Text Classification (HP)
|
100% |
9841
13.1 KIPS |
|
|
Text Classification (Q)
|
93% |
9613
12.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
3346
57.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6452
111.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7165
123.8 IPS |
