iPad14,4
Geekbench AI Score
3438
Single Precision Score
5991
Half Precision Score
4857
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | huxiaoxi |
| Upload Date | July 09 2025 03:06 PM |
| Views | 11 |
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% |
1350
251.1 IPS |
|
|
Image Classification (HP)
|
100% |
2528
470.2 IPS |
|
|
Image Classification (Q)
|
96% |
1753
327.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1486
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2401
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2782
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6817
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
15098
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12863
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1537
121.9 IPS |
|
|
Object Detection (HP)
|
97% |
2807
223.5 IPS |
|
|
Object Detection (Q)
|
94% |
2036
162.2 IPS |
|
|
Face Detection (SP)
|
100% |
3152
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6001
71.3 IPS |
|
|
Face Detection (Q)
|
100% |
3465
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5594
43.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10923
84.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7659
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18670
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28973
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23990
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3956
146.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4972
183.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3736
137.9 IPS |
|
|
Text Classification (SP)
|
100% |
2256
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3838
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3805
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3736
64.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6400
110.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6326
109.3 IPS |
