iPad15,3
Geekbench AI Score
4072
Single Precision Score
7027
Half Precision Score
5673
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 29 2025 03:24 PM |
| Views | 2 |
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% |
1574
292.8 IPS |
|
|
Image Classification (HP)
|
100% |
2965
551.5 IPS |
|
|
Image Classification (Q)
|
96% |
2086
389.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1848
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2916
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3207
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8875
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17470
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15068
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1805
143.2 IPS |
|
|
Object Detection (HP)
|
97% |
3171
252.5 IPS |
|
|
Object Detection (Q)
|
94% |
2275
181.3 IPS |
|
|
Face Detection (SP)
|
100% |
3464
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
6715
79.8 IPS |
|
|
Face Detection (Q)
|
100% |
3967
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7048
54.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12729
98.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8999
70.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22310
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34427
44.3 IPS |
|
|
Style Transfer (Q)
|
96% |
28589
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5172
191.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6137
226.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4458
164.6 IPS |
|
|
Text Classification (SP)
|
100% |
3003
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5477
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5296
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3183
54.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6203
107.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6251
108.0 IPS |
