iPad mini (7th generation)
Geekbench AI Score
4002
Single Precision Score
28321
Half Precision Score
39688
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 01:29 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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% |
1658
308.3 IPS |
|
|
Image Classification (HP)
|
100% |
10678
1.99 KIPS |
|
|
Image Classification (Q)
|
97% |
15925
2.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1619
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16623
269.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
22162
359.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6541
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
105910
123.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
206643
242.2 IPS |
|
|
Object Detection (SP)
|
100% |
1699
134.7 IPS |
|
|
Object Detection (HP)
|
100% |
13910
1.10 KIPS |
|
|
Object Detection (Q)
|
89% |
18158
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
3222
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
36052
428.4 IPS |
|
|
Face Detection (Q)
|
100% |
57899
688.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6662
51.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78172
602.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
127368
995.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19420
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
211614
272.0 IPS |
|
|
Style Transfer (Q)
|
96% |
248934
321.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4405
162.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34484
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
61698
2.28 KIPS |
|
|
Text Classification (SP)
|
99% |
5686
7.59 KIPS |
|
|
Text Classification (HP)
|
99% |
9577
12.8 KIPS |
|
|
Text Classification (Q)
|
93% |
8896
11.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
3389
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6447
111.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7267
125.6 IPS |
