iPad mini (7th generation)
Geekbench AI Score
3977
Single Precision Score
28412
Half Precision Score
39386
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 01 2026 09:58 AM |
| Views | 2 |
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% |
1637
304.4 IPS |
|
|
Image Classification (HP)
|
100% |
11062
2.06 KIPS |
|
|
Image Classification (Q)
|
97% |
15980
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1582
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16852
273.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
22088
358.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6397
7.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
103507
120.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
206160
241.6 IPS |
|
|
Object Detection (SP)
|
100% |
1689
134.0 IPS |
|
|
Object Detection (HP)
|
100% |
13994
1.11 KIPS |
|
|
Object Detection (Q)
|
89% |
18436
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
3227
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
36248
430.7 IPS |
|
|
Face Detection (Q)
|
100% |
53933
640.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6525
50.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
77980
600.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
127818
998.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19124
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
212978
273.8 IPS |
|
|
Style Transfer (Q)
|
96% |
251654
324.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4430
163.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35453
1.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59063
2.18 KIPS |
|
|
Text Classification (SP)
|
100% |
5773
7.71 KIPS |
|
|
Text Classification (HP)
|
100% |
9196
12.3 KIPS |
|
|
Text Classification (Q)
|
92% |
9448
12.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
3437
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6469
111.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6917
119.5 IPS |
