iPad15,3
Geekbench AI Score
4009
Single Precision Score
7112
Half Precision Score
5733
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 03:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1522
283.1 IPS |
|
|
Image Classification (HP)
|
100% |
2942
547.0 IPS |
|
|
Image Classification (Q)
|
96% |
2033
379.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1805
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2897
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3222
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8329
9.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
17527
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15095
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1717
136.2 IPS |
|
|
Object Detection (HP)
|
97% |
3252
258.9 IPS |
|
|
Object Detection (Q)
|
94% |
2346
187.0 IPS |
|
|
Face Detection (SP)
|
100% |
3464
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
6851
81.4 IPS |
|
|
Face Detection (Q)
|
100% |
3991
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6957
53.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12705
98.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9026
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21996
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33752
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28065
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4944
182.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6136
226.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4470
165.1 IPS |
|
|
Text Classification (SP)
|
100% |
3185
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5503
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5441
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3274
56.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6878
118.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6731
116.3 IPS |
