iPad15,3
Geekbench AI Score
4139
Single Precision Score
7082
Half Precision Score
5721
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | rgba |
| Upload Date | August 21 2025 06:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| Model | iPad15,3 |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1611
299.6 IPS |
|
|
Image Classification (HP)
|
100% |
2989
555.8 IPS |
|
|
Image Classification (Q)
|
96% |
2069
386.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1883
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2936
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3229
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9000
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17534
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15117
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1823
144.6 IPS |
|
|
Object Detection (HP)
|
97% |
3241
258.1 IPS |
|
|
Object Detection (Q)
|
94% |
2349
187.2 IPS |
|
|
Face Detection (SP)
|
100% |
3583
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
6885
81.8 IPS |
|
|
Face Detection (Q)
|
100% |
4002
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7164
55.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12834
99.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9032
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22289
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34557
44.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28604
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5259
194.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6123
226.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4466
164.9 IPS |
|
|
Text Classification (SP)
|
100% |
3002
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5326
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5355
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3288
56.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6392
110.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6409
110.8 IPS |
