iPad14,6
Geekbench AI Score
3314
Single Precision Score
5996
Half Precision Score
4868
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 03:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 15.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1294
240.6 IPS |
|
|
Image Classification (HP)
|
100% |
2482
461.6 IPS |
|
|
Image Classification (Q)
|
96% |
1721
321.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1451
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2375
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2747
44.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6349
7.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
15046
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12858
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1426
113.1 IPS |
|
|
Object Detection (HP)
|
97% |
2814
224.0 IPS |
|
|
Object Detection (Q)
|
94% |
2039
162.5 IPS |
|
|
Face Detection (SP)
|
100% |
3100
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
5973
71.0 IPS |
|
|
Face Detection (Q)
|
100% |
3465
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5467
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10990
85.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7726
60.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18116
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28310
36.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23485
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3753
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5062
186.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3719
137.3 IPS |
|
|
Text Classification (SP)
|
100% |
2273
3.03 KIPS |
|
|
Text Classification (HP)
|
99% |
3789
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3764
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3599
62.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6755
116.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6865
118.6 IPS |
