iPad14,4
Geekbench AI Score
3430
Single Precision Score
6000
Half Precision Score
4869
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | July 02 2025 02:45 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1343
249.7 IPS |
|
|
Image Classification (HP)
|
100% |
2521
468.9 IPS |
|
|
Image Classification (Q)
|
96% |
1763
329.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1491
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2404
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2773
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6845
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
15284
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12888
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1534
121.7 IPS |
|
|
Object Detection (HP)
|
97% |
2809
223.6 IPS |
|
|
Object Detection (Q)
|
94% |
2039
162.5 IPS |
|
|
Face Detection (SP)
|
100% |
3130
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
6001
71.3 IPS |
|
|
Face Detection (Q)
|
100% |
3466
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5591
43.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10886
84.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7670
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18599
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28988
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23969
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3939
145.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4990
184.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3723
137.5 IPS |
|
|
Text Classification (SP)
|
100% |
2262
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3839
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3821
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3703
63.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6408
110.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6440
111.3 IPS |
