iPad mini (7th generation)
Geekbench AI Score
3990
Single Precision Score
7275
Half Precision Score
5971
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 12 2026 08:50 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1654
307.6 IPS |
|
|
Image Classification (HP)
|
100% |
2989
555.8 IPS |
|
|
Image Classification (Q)
|
96% |
2044
381.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1597
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2415
39.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3088
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6677
7.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
14825
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13494
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1670
132.5 IPS |
|
|
Object Detection (HP)
|
97% |
3324
264.6 IPS |
|
|
Object Detection (Q)
|
94% |
2380
189.7 IPS |
|
|
Face Detection (SP)
|
100% |
3266
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
6944
82.5 IPS |
|
|
Face Detection (Q)
|
100% |
3865
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6642
51.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12942
100.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9088
71.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19242
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33702
43.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27906
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4376
161.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5604
206.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4345
160.4 IPS |
|
|
Text Classification (SP)
|
100% |
5624
7.51 KIPS |
|
|
Text Classification (HP)
|
100% |
9679
12.9 KIPS |
|
|
Text Classification (Q)
|
93% |
9479
12.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
3388
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7113
122.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7042
121.7 IPS |
