iPad15,3
Geekbench AI Score
4128
Single Precision Score
7087
Half Precision Score
5715
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 14 2025 03:56 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1614
300.1 IPS |
|
|
Image Classification (HP)
|
100% |
2984
555.0 IPS |
|
|
Image Classification (Q)
|
96% |
2065
385.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1883
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2928
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3207
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8909
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17517
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15083
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1820
144.3 IPS |
|
|
Object Detection (HP)
|
97% |
3259
259.4 IPS |
|
|
Object Detection (Q)
|
94% |
2345
186.9 IPS |
|
|
Face Detection (SP)
|
100% |
3554
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
6880
81.7 IPS |
|
|
Face Detection (Q)
|
100% |
3997
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7154
55.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12823
99.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9028
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22475
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34596
44.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28565
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5239
193.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6145
226.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4481
165.5 IPS |
|
|
Text Classification (SP)
|
100% |
2978
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5347
7.14 KIPS |
|
|
Text Classification (Q)
|
93% |
5361
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3273
56.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6395
110.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6415
110.9 IPS |
