iPad mini Gen. 7 128GB iPad16,1
Geekbench AI Score
3932
Single Precision Score
26753
Half Precision Score
36473
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | kirbalo |
| Upload Date | December 15 2025 09:44 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | ARM |
| 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% |
1602
297.8 IPS |
|
|
Image Classification (HP)
|
100% |
10807
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
15493
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1593
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16366
265.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21491
348.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7698
8.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
107494
125.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
207324
243.0 IPS |
|
|
Object Detection (SP)
|
100% |
1713
135.9 IPS |
|
|
Object Detection (HP)
|
100% |
14046
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
17873
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3273
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
34750
412.9 IPS |
|
|
Face Detection (Q)
|
100% |
47827
568.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6963
53.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78461
604.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
124333
972.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21902
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
208202
267.6 IPS |
|
|
Style Transfer (Q)
|
96% |
249946
322.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4853
179.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34992
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57857
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3176
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5411
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5434
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3414
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6545
112.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7227
124.9 IPS |
