iPad mini (7th generation)
Geekbench AI Score
3886
Single Precision Score
27119
Half Precision Score
35919
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 10 2026 11:07 AM |
| Views | 8 |
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% |
1610
299.4 IPS |
|
|
Image Classification (HP)
|
100% |
11932
2.22 KIPS |
|
|
Image Classification (Q)
|
97% |
14471
2.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1574
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16628
269.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21368
346.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7620
8.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
107365
125.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
208299
244.1 IPS |
|
|
Object Detection (SP)
|
100% |
1703
135.1 IPS |
|
|
Object Detection (HP)
|
100% |
14082
1.12 KIPS |
|
|
Object Detection (Q)
|
91% |
17489
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3229
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
34363
408.3 IPS |
|
|
Face Detection (Q)
|
100% |
47427
563.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6814
52.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78622
605.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
125163
978.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21415
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
207349
266.6 IPS |
|
|
Style Transfer (Q)
|
96% |
249147
321.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4658
172.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36483
1.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52332
1.93 KIPS |
|
|
Text Classification (SP)
|
100% |
3236
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5444
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5456
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3365
58.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6448
111.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7516
129.9 IPS |
