iPad15,7
Geekbench AI Score
3568
Single Precision Score
6181
Half Precision Score
5025
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | UvarovAndrey |
| Upload Date | April 29 2025 07:47 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| Model | iPad15,7 |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1441
268.0 IPS |
|
|
Image Classification (HP)
|
100% |
2530
470.4 IPS |
|
|
Image Classification (Q)
|
96% |
1749
326.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1452
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2628
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6897
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
15162
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12990
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1603
127.1 IPS |
|
|
Object Detection (HP)
|
97% |
2906
231.3 IPS |
|
|
Object Detection (Q)
|
94% |
2065
164.6 IPS |
|
|
Face Detection (SP)
|
100% |
3207
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
6053
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
3475
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6031
46.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11651
90.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8008
62.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18816
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29747
38.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24490
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4065
150.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5124
189.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3864
142.7 IPS |
|
|
Text Classification (SP)
|
100% |
2696
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4834
6.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4768
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3634
62.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6700
115.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6634
114.6 IPS |
