iPad15,3
Geekbench AI Score
4141
Single Precision Score
7114
Half Precision Score
5762
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 05 2025 07:14 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| Model | iPad15,3 |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1610
299.4 IPS |
|
|
Image Classification (HP)
|
100% |
3018
561.3 IPS |
|
|
Image Classification (Q)
|
96% |
2112
394.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1899
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2954
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3314
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8921
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17549
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15103
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1821
144.4 IPS |
|
|
Object Detection (HP)
|
97% |
3229
257.1 IPS |
|
|
Object Detection (Q)
|
94% |
2363
188.3 IPS |
|
|
Face Detection (SP)
|
100% |
3524
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
6836
81.2 IPS |
|
|
Face Detection (Q)
|
100% |
4008
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7028
54.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12769
98.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9040
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22454
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34516
44.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28621
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5210
192.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6123
226.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4453
164.4 IPS |
|
|
Text Classification (SP)
|
100% |
3095
4.13 KIPS |
|
|
Text Classification (HP)
|
99% |
5255
7.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5192
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3330
57.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6785
117.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6745
116.6 IPS |
