iPad mini (7th generation)
Geekbench AI Score
3559
Single Precision Score
24055
Half Precision Score
33139
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | megaspaz |
| Upload Date | March 17 2026 06:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| Model | iPad mini (7th generation) |
| Model ID | iPad16,2 |
| Motherboard | J411AP |
| 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% |
1347
250.5 IPS |
|
|
Image Classification (HP)
|
100% |
8836
1.64 KIPS |
|
|
Image Classification (Q)
|
97% |
12391
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1089
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16437
266.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19394
314.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6309
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
102584
119.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
196897
230.8 IPS |
|
|
Object Detection (SP)
|
100% |
1650
130.8 IPS |
|
|
Object Detection (HP)
|
100% |
11160
885.2 IPS |
|
|
Object Detection (Q)
|
91% |
14957
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
3210
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
34751
412.9 IPS |
|
|
Face Detection (Q)
|
100% |
51796
615.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6636
51.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
68719
529.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
103160
806.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20003
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
199630
256.6 IPS |
|
|
Style Transfer (Q)
|
96% |
235764
304.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4525
167.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27278
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48629
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
3244
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5489
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5631
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3420
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5466
94.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6543
113.1 IPS |
