iPad13,18
Geekbench AI Score
2663
Single Precision Score
4590
Half Precision Score
3811
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 01:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1215
225.9 IPS |
|
|
Image Classification (HP)
|
100% |
1937
360.2 IPS |
|
|
Image Classification (Q)
|
96% |
1372
256.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1048
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1718
27.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2130
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5356
6.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
10945
12.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
9836
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1284
101.8 IPS |
|
|
Object Detection (HP)
|
97% |
2114
168.3 IPS |
|
|
Object Detection (Q)
|
94% |
1561
124.4 IPS |
|
|
Face Detection (SP)
|
100% |
2371
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
4415
52.5 IPS |
|
|
Face Detection (Q)
|
100% |
2604
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4806
37.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9093
70.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6439
50.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13719
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
23426
30.1 IPS |
|
|
Style Transfer (Q)
|
96% |
19874
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2869
105.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4064
150.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3134
115.7 IPS |
|
|
Text Classification (SP)
|
100% |
2123
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3667
4.89 KIPS |
|
|
Text Classification (Q)
|
93% |
3604
4.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2158
37.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3847
66.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3833
66.2 IPS |
