iPad14,6
Geekbench AI Score
875
Single Precision Score
10739
Half Precision Score
10432
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 07:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad14,6 |
| Model ID | iPad14,6 |
| Motherboard | J621AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 2.38 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
284
52.8 IPS |
|
|
Image Classification (HP)
|
100% |
5246
975.6 IPS |
|
|
Image Classification (Q)
|
96% |
3170
591.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
258
4.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
7692
124.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
8869
143.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
511
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
39153
45.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
30661
35.9 IPS |
|
|
Object Detection (SP)
|
100% |
401
31.8 IPS |
|
|
Object Detection (HP)
|
99% |
7547
600.4 IPS |
|
|
Object Detection (Q)
|
91% |
4082
326.1 IPS |
|
|
Face Detection (SP)
|
100% |
968
11.5 IPS |
|
|
Face Detection (HP)
|
100% |
10484
124.6 IPS |
|
|
Face Detection (Q)
|
100% |
12494
148.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1133
8.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
27376
210.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
57894
452.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3729
4.79 IPS |
|
|
Style Transfer (HP)
|
100% |
61716
79.3 IPS |
|
|
Style Transfer (Q)
|
96% |
129937
167.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3036
112.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31343
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35401
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
1345
1.80 KIPS |
|
|
Text Classification (HP)
|
99% |
2218
2.96 KIPS |
|
|
Text Classification (Q)
|
93% |
1491
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1061
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1390
23.9 IPS |
|
|
Machine Translation (Q)
|
98% |
875
15.1 IPS |
