iPad15,3
Geekbench AI Score
4119
Single Precision Score
7045
Half Precision Score
5690
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 26 2025 07:14 PM |
| Views | 3 |
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% |
1625
302.3 IPS |
|
|
Image Classification (HP)
|
100% |
2946
547.9 IPS |
|
|
Image Classification (Q)
|
96% |
2038
380.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1880
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2892
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3219
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8855
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17508
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15068
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1810
143.6 IPS |
|
|
Object Detection (HP)
|
97% |
3237
257.7 IPS |
|
|
Object Detection (Q)
|
94% |
2339
186.4 IPS |
|
|
Face Detection (SP)
|
100% |
3555
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
6846
81.3 IPS |
|
|
Face Detection (Q)
|
100% |
3983
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7137
55.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12739
98.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9050
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22470
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34536
44.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28567
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5240
193.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6132
226.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4474
165.2 IPS |
|
|
Text Classification (SP)
|
100% |
2961
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5320
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5287
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3248
56.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6351
109.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6320
109.2 IPS |
