iPad15,3
Geekbench AI Score
4021
Single Precision Score
7147
Half Precision Score
5770
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | mitmcint |
| Upload Date | December 04 2025 01:26 PM |
| Views | 3 |
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% |
1532
284.9 IPS |
|
|
Image Classification (HP)
|
100% |
3005
558.8 IPS |
|
|
Image Classification (Q)
|
96% |
2090
390.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1811
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2899
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3230
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8416
9.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
17521
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15093
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1721
136.5 IPS |
|
|
Object Detection (HP)
|
97% |
3257
259.3 IPS |
|
|
Object Detection (Q)
|
94% |
2352
187.5 IPS |
|
|
Face Detection (SP)
|
100% |
3445
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
6911
82.1 IPS |
|
|
Face Detection (Q)
|
100% |
4001
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6973
53.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12803
99.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9042
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22052
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33888
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28132
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4997
184.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6149
227.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4474
165.2 IPS |
|
|
Text Classification (SP)
|
100% |
3166
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5554
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5497
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3281
56.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6837
118.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6826
118.0 IPS |
