iPad14,6
Geekbench AI Score
3333
Single Precision Score
6056
Half Precision Score
4923
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 04:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad14,6 |
| Model ID | iPad14,6 |
| Motherboard | J621AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1318
245.2 IPS |
|
|
Image Classification (HP)
|
100% |
2533
471.1 IPS |
|
|
Image Classification (Q)
|
96% |
1772
330.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1472
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2408
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2795
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6346
7.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
15086
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12836
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1426
113.1 IPS |
|
|
Object Detection (HP)
|
97% |
2840
226.1 IPS |
|
|
Object Detection (Q)
|
94% |
2068
164.9 IPS |
|
|
Face Detection (SP)
|
100% |
3099
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
6016
71.5 IPS |
|
|
Face Detection (Q)
|
100% |
3481
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5474
42.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11025
85.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7760
60.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18150
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28303
36.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23511
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3743
138.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5045
186.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3718
137.3 IPS |
|
|
Text Classification (SP)
|
100% |
2297
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3951
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3959
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3641
62.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6795
117.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6816
117.8 IPS |
