iPad15,3
Geekbench AI Score
4129
Single Precision Score
7071
Half Precision Score
5712
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 10:25 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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
302.2 IPS |
|
|
Image Classification (HP)
|
100% |
2979
554.1 IPS |
|
|
Image Classification (Q)
|
96% |
2087
389.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1880
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2905
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3230
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8962
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17544
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15105
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1817
144.1 IPS |
|
|
Object Detection (HP)
|
97% |
3264
259.8 IPS |
|
|
Object Detection (Q)
|
94% |
2336
186.2 IPS |
|
|
Face Detection (SP)
|
100% |
3575
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
6839
81.3 IPS |
|
|
Face Detection (Q)
|
100% |
3994
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7160
55.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12834
99.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9024
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22548
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34612
44.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28626
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5259
194.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6127
226.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4471
165.1 IPS |
|
|
Text Classification (SP)
|
100% |
2924
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5281
7.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5303
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3266
56.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6419
110.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6364
110.0 IPS |
