iPad mini (7th generation)
Geekbench AI Score
3989
Single Precision Score
28274
Half Precision Score
39501
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 21 2026 08:17 AM |
| Views | 9 |
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% |
1663
309.2 IPS |
|
|
Image Classification (HP)
|
100% |
10576
1.97 KIPS |
|
|
Image Classification (Q)
|
97% |
15628
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1580
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16594
269.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
21941
355.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6446
7.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
103663
121.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
207038
242.7 IPS |
|
|
Object Detection (SP)
|
100% |
1694
134.4 IPS |
|
|
Object Detection (HP)
|
100% |
13893
1.10 KIPS |
|
|
Object Detection (Q)
|
89% |
18444
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
3291
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
36282
431.1 IPS |
|
|
Face Detection (Q)
|
100% |
58505
695.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6586
50.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
78285
603.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
127409
995.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19013
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
209219
269.0 IPS |
|
|
Style Transfer (Q)
|
96% |
250835
323.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4327
159.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34361
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55410
2.05 KIPS |
|
|
Text Classification (SP)
|
99% |
5689
7.59 KIPS |
|
|
Text Classification (HP)
|
99% |
9748
13.0 KIPS |
|
|
Text Classification (Q)
|
93% |
9577
12.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
3512
60.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6490
111.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7120
123.0 IPS |
