iPad14,4
Geekbench AI Score
3450
Single Precision Score
5994
Half Precision Score
4867
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | September 07 2025 05:34 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1394
259.3 IPS |
|
|
Image Classification (HP)
|
100% |
2534
471.2 IPS |
|
|
Image Classification (Q)
|
96% |
1762
329.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1485
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2399
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2754
44.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6814
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
15080
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12853
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1542
122.3 IPS |
|
|
Object Detection (HP)
|
97% |
2813
223.9 IPS |
|
|
Object Detection (Q)
|
94% |
2036
162.3 IPS |
|
|
Face Detection (SP)
|
100% |
3145
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6025
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
3469
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5617
43.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10871
84.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7664
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18588
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28930
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23976
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3954
146.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4968
183.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3734
137.9 IPS |
|
|
Text Classification (SP)
|
100% |
2260
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3864
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3853
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3743
64.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6383
110.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6405
110.7 IPS |
