iPad14,6
Geekbench AI Score
3292
Single Precision Score
6013
Half Precision Score
4878
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 09:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad14,6 |
| Model ID | iPad14,6 |
| Motherboard | J621AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 15.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1284
238.8 IPS |
|
|
Image Classification (HP)
|
100% |
2509
466.6 IPS |
|
|
Image Classification (Q)
|
96% |
1757
328.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1436
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2366
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2749
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6345
7.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
15170
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12824
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1405
111.4 IPS |
|
|
Object Detection (HP)
|
97% |
2794
222.4 IPS |
|
|
Object Detection (Q)
|
94% |
2031
161.9 IPS |
|
|
Face Detection (SP)
|
100% |
3023
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5976
71.0 IPS |
|
|
Face Detection (Q)
|
100% |
3465
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5361
41.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10887
84.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7670
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18079
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28060
36.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23312
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3716
137.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5026
185.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3695
136.4 IPS |
|
|
Text Classification (SP)
|
100% |
2324
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3910
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3908
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3600
62.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6849
118.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6785
117.2 IPS |
