iPad15,3
Geekbench AI Score
3951
Single Precision Score
6299
Half Precision Score
5316
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | August 15 2025 02:45 PM |
| Views | 11 |
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% |
1623
301.8 IPS |
|
|
Image Classification (HP)
|
100% |
2981
554.3 IPS |
|
|
Image Classification (Q)
|
96% |
1723
321.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1883
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2859
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3218
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7937
9.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
11159
13.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11504
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1350
107.1 IPS |
|
|
Object Detection (HP)
|
97% |
3252
258.9 IPS |
|
|
Object Detection (Q)
|
94% |
2346
187.0 IPS |
|
|
Face Detection (SP)
|
100% |
3568
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
6813
81.0 IPS |
|
|
Face Detection (Q)
|
100% |
3988
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7148
55.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12662
97.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9021
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22134
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
23782
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28514
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4629
170.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6121
226.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4454
164.5 IPS |
|
|
Text Classification (SP)
|
100% |
3235
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5499
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5476
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3353
57.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4610
79.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4817
83.2 IPS |
