iPad mini (7th generation)
Geekbench AI Score
3720
Single Precision Score
6910
Half Precision Score
5629
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 07 2026 09:13 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1598
297.2 IPS |
|
|
Image Classification (HP)
|
100% |
2938
546.4 IPS |
|
|
Image Classification (Q)
|
96% |
2041
381.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1568
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2315
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3033
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6801
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
15295
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13145
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1625
128.9 IPS |
|
|
Object Detection (HP)
|
97% |
3290
262.0 IPS |
|
|
Object Detection (Q)
|
94% |
2362
188.3 IPS |
|
|
Face Detection (SP)
|
100% |
3097
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
6881
81.8 IPS |
|
|
Face Detection (Q)
|
100% |
3818
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6428
49.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12748
98.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8932
69.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19450
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32503
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26881
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4378
161.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5952
219.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4376
161.6 IPS |
|
|
Text Classification (SP)
|
100% |
3207
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5549
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5550
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3374
58.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7704
133.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7469
129.1 IPS |
