iPad mini (7th generation)
Geekbench AI Score
3786
Single Precision Score
26798
Half Precision Score
36937
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 13 2026 01:38 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1605
298.4 IPS |
|
|
Image Classification (HP)
|
100% |
10784
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
15646
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1604
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16847
273.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
21487
348.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6597
7.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
105882
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
206618
242.2 IPS |
|
|
Object Detection (SP)
|
100% |
1676
132.9 IPS |
|
|
Object Detection (HP)
|
100% |
13886
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
17830
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3256
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
34944
415.2 IPS |
|
|
Face Detection (Q)
|
100% |
47877
568.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6689
51.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78227
602.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
121608
950.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19661
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
210521
270.6 IPS |
|
|
Style Transfer (Q)
|
96% |
253795
327.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4520
166.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34305
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60746
2.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3223
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5576
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5684
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3409
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6497
111.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7483
129.3 IPS |
