iPad mini (7th generation)
Geekbench AI Score
3980
Single Precision Score
28176
Half Precision Score
39690
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 08 2026 08:50 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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
307.5 IPS |
|
|
Image Classification (HP)
|
100% |
10436
1.94 KIPS |
|
|
Image Classification (Q)
|
97% |
15975
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1586
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16719
271.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
22194
359.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6594
7.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
104561
122.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
207245
242.9 IPS |
|
|
Object Detection (SP)
|
100% |
1700
134.9 IPS |
|
|
Object Detection (HP)
|
100% |
13868
1.10 KIPS |
|
|
Object Detection (Q)
|
89% |
19719
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
3220
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
36115
429.1 IPS |
|
|
Face Detection (Q)
|
100% |
53290
633.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6548
50.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78423
604.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
125884
983.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19063
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
208493
268.0 IPS |
|
|
Style Transfer (Q)
|
96% |
249981
322.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4426
163.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34523
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58559
2.16 KIPS |
|
|
Text Classification (SP)
|
100% |
5699
7.61 KIPS |
|
|
Text Classification (HP)
|
99% |
9354
12.5 KIPS |
|
|
Text Classification (Q)
|
92% |
9539
12.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
3351
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6537
112.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7148
123.5 IPS |
