iPad13,18
Geekbench AI Score
2640
Single Precision Score
2979
Half Precision Score
2786
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | zlocorp |
| Upload Date | April 13 2025 04:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPad13,18 |
| Model ID | iPad13,18 |
| Motherboard | J271AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1123
208.9 IPS |
|
|
Image Classification (HP)
|
100% |
1080
200.8 IPS |
|
|
Image Classification (Q)
|
96% |
1021
190.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1751
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1765
28.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1735
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6130
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
8300
9.69 IPS |
|
|
Pose Estimation (Q)
|
94% |
7608
8.92 IPS |
|
|
Object Detection (SP)
|
100% |
1240
98.4 IPS |
|
|
Object Detection (HP)
|
100% |
1253
99.4 IPS |
|
|
Object Detection (Q)
|
92% |
1142
91.2 IPS |
|
|
Face Detection (SP)
|
100% |
3309
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
3863
45.9 IPS |
|
|
Face Detection (Q)
|
100% |
3207
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4803
37.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5605
43.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
5188
40.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13256
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13675
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13232
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2864
105.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3025
111.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2672
98.7 IPS |
|
|
Text Classification (SP)
|
100% |
2068
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
3562
4.75 KIPS |
|
|
Text Classification (Q)
|
93% |
3559
4.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
885
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
873
15.0 IPS |
|
|
Machine Translation (Q)
|
98% |
877
15.2 IPS |
