iPad15,7
Geekbench AI Score
3558
Single Precision Score
6235
Half Precision Score
5049
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | G_A_Alharbi |
| Upload Date | October 19 2025 09:30 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1379
256.4 IPS |
|
|
Image Classification (HP)
|
100% |
2543
472.9 IPS |
|
|
Image Classification (Q)
|
96% |
1745
325.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1440
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2624
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7096
8.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
15782
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13096
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1592
126.2 IPS |
|
|
Object Detection (HP)
|
97% |
2921
232.6 IPS |
|
|
Object Detection (Q)
|
94% |
2068
164.9 IPS |
|
|
Face Detection (SP)
|
100% |
3216
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
6082
72.3 IPS |
|
|
Face Detection (Q)
|
100% |
3480
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5852
45.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11775
91.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8003
62.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19155
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29837
38.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24545
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4104
151.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5126
189.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3858
142.5 IPS |
|
|
Text Classification (SP)
|
100% |
2708
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4927
6.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4843
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3623
62.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6687
115.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6801
117.5 IPS |
