iPad15,3
Geekbench AI Score
4185
Single Precision Score
7168
Half Precision Score
5772
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 06 2025 06:14 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2979
554.0 IPS |
|
|
Image Classification (Q)
|
96% |
2066
385.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1885
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2901
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3222
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9014
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17536
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15096
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1806
143.3 IPS |
|
|
Object Detection (HP)
|
97% |
3259
259.5 IPS |
|
|
Object Detection (Q)
|
94% |
2354
187.7 IPS |
|
|
Face Detection (SP)
|
100% |
3586
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
6821
81.1 IPS |
|
|
Face Detection (Q)
|
100% |
3988
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7174
55.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12850
99.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9047
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22443
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34516
44.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28531
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5248
193.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6156
227.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4476
165.3 IPS |
|
|
Text Classification (SP)
|
100% |
3280
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5583
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5524
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3359
57.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6981
120.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6826
118.0 IPS |
