iPad15,3
Geekbench AI Score
4123
Single Precision Score
7059
Half Precision Score
5706
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | islaeh |
| Upload Date | April 24 2025 05:22 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1609
299.2 IPS |
|
|
Image Classification (HP)
|
100% |
2989
555.8 IPS |
|
|
Image Classification (Q)
|
96% |
2074
387.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1886
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2939
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3231
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8907
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17509
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15087
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1816
144.1 IPS |
|
|
Object Detection (HP)
|
97% |
3218
256.2 IPS |
|
|
Object Detection (Q)
|
94% |
2335
186.1 IPS |
|
|
Face Detection (SP)
|
100% |
3554
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
6852
81.4 IPS |
|
|
Face Detection (Q)
|
100% |
3988
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7151
55.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12758
98.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8979
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22409
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34502
44.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28614
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5244
193.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6160
227.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4471
165.1 IPS |
|
|
Text Classification (SP)
|
100% |
2986
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5295
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5313
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3247
55.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6313
109.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6373
110.1 IPS |
