iPad13,18
Geekbench AI Score
2604
Single Precision Score
4579
Half Precision Score
3756
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 27 2025 02:28 PM |
| Views | 6 |
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% |
1131
210.4 IPS |
|
|
Image Classification (HP)
|
100% |
1891
351.6 IPS |
|
|
Image Classification (Q)
|
96% |
1345
251.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1055
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1691
27.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2067
33.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4744
5.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
10207
11.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
9159
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1260
100.0 IPS |
|
|
Object Detection (HP)
|
97% |
2123
169.0 IPS |
|
|
Object Detection (Q)
|
94% |
1568
125.0 IPS |
|
|
Face Detection (SP)
|
100% |
2426
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
4421
52.5 IPS |
|
|
Face Detection (Q)
|
100% |
2588
30.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4642
35.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9007
69.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6248
48.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12912
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
22650
29.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18954
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2858
105.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4373
161.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3175
117.2 IPS |
|
|
Text Classification (SP)
|
100% |
2170
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
3757
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3638
4.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2232
38.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3955
68.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3961
68.4 IPS |
