iPad13,18
Geekbench AI Score
2612
Single Precision Score
4521
Half Precision Score
3761
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 12 2025 03:10 PM |
| Views | 2 |
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% |
1213
225.5 IPS |
|
|
Image Classification (HP)
|
100% |
1933
359.4 IPS |
|
|
Image Classification (Q)
|
96% |
1363
254.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1054
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1694
27.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2074
33.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4876
5.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
10226
11.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
9214
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1267
100.5 IPS |
|
|
Object Detection (HP)
|
97% |
2110
168.0 IPS |
|
|
Object Detection (Q)
|
94% |
1552
123.7 IPS |
|
|
Face Detection (SP)
|
100% |
2386
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
4378
52.0 IPS |
|
|
Face Detection (Q)
|
100% |
2584
30.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4658
35.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
8956
69.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6413
50.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13011
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22516
28.9 IPS |
|
|
Style Transfer (Q)
|
96% |
19095
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2815
104.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4032
148.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3125
115.4 IPS |
|
|
Text Classification (SP)
|
100% |
2114
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3653
4.88 KIPS |
|
|
Text Classification (Q)
|
93% |
3654
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2183
37.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3885
67.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3878
67.0 IPS |
