iPad mini Gen. 7 128GB iPad16,1
Geekbench AI Score
4706
Single Precision Score
4940
Half Precision Score
4720
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | kirbalo |
| Upload Date | December 15 2025 09:50 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2176
404.7 IPS |
|
|
Image Classification (HP)
|
100% |
2480
461.2 IPS |
|
|
Image Classification (Q)
|
96% |
2181
407.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3513
56.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3736
60.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3699
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11537
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
13013
15.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
12573
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
2070
164.2 IPS |
|
|
Object Detection (HP)
|
100% |
716
56.8 IPS |
|
|
Object Detection (Q)
|
92% |
2080
166.0 IPS |
|
|
Face Detection (SP)
|
100% |
6672
79.3 IPS |
|
|
Face Detection (HP)
|
100% |
6785
80.6 IPS |
|
|
Face Detection (Q)
|
100% |
4660
55.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6728
51.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
11392
87.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
5383
42.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25026
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29430
37.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22688
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4449
164.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3914
144.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4037
149.1 IPS |
|
|
Text Classification (SP)
|
100% |
3172
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
4612
6.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3997
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1841
31.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2444
42.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2833
49.0 IPS |
