iPad15,3
Geekbench AI Score
4025
Single Precision Score
7165
Half Precision Score
5781
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 09 2025 11:25 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1535
285.4 IPS |
|
|
Image Classification (HP)
|
100% |
3020
561.6 IPS |
|
|
Image Classification (Q)
|
96% |
2108
393.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1831
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2963
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3231
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8411
9.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
17563
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15116
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1719
136.3 IPS |
|
|
Object Detection (HP)
|
97% |
3254
259.1 IPS |
|
|
Object Detection (Q)
|
94% |
2364
188.4 IPS |
|
|
Face Detection (SP)
|
100% |
3461
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
6870
81.6 IPS |
|
|
Face Detection (Q)
|
100% |
4002
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6945
53.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12773
98.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9045
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22002
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33865
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28142
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4998
184.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6140
226.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4468
165.0 IPS |
|
|
Text Classification (SP)
|
100% |
3174
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5517
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5535
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3274
56.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6934
119.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6801
117.5 IPS |
