iPad14,6
Geekbench AI Score
3451
Single Precision Score
5993
Half Precision Score
4882
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | 0xd0cb0e5e |
| Upload Date | April 17 2025 06:05 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 7.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1398
260.0 IPS |
|
|
Image Classification (HP)
|
100% |
2519
468.5 IPS |
|
|
Image Classification (Q)
|
96% |
1762
329.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1519
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2362
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2781
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6813
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
15076
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13113
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1528
121.2 IPS |
|
|
Object Detection (HP)
|
97% |
2802
223.1 IPS |
|
|
Object Detection (Q)
|
94% |
2042
162.7 IPS |
|
|
Face Detection (SP)
|
100% |
3093
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
6018
71.5 IPS |
|
|
Face Detection (Q)
|
100% |
3473
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5615
43.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10916
84.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7673
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18659
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28993
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24046
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3938
145.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5013
185.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3738
138.0 IPS |
|
|
Text Classification (SP)
|
100% |
2314
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3888
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3856
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3676
63.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6406
110.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6356
109.8 IPS |
