iPad13,18
Geekbench AI Score
1198
Single Precision Score
4429
Half Precision Score
3685
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 21 2025 08:46 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1201
223.3 IPS |
|
|
Image Classification (HP)
|
100% |
1906
354.4 IPS |
|
|
Image Classification (Q)
|
96% |
1362
254.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1071
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1736
28.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2148
34.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4905
5.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
10025
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9085
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
1261
100.0 IPS |
|
|
Object Detection (HP)
|
97% |
2124
169.1 IPS |
|
|
Object Detection (Q)
|
94% |
1546
123.2 IPS |
|
|
Face Detection (SP)
|
100% |
2315
27.5 IPS |
|
|
Face Detection (HP)
|
100% |
4433
52.7 IPS |
|
|
Face Detection (Q)
|
100% |
2563
30.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4638
35.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9171
70.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6447
50.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12611
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20965
27.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18038
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2664
98.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4046
149.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2945
108.8 IPS |
|
|
Text Classification (SP)
|
100% |
2137
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3614
4.82 KIPS |
|
|
Text Classification (Q)
|
93% |
3619
4.86 KIPS |
|
|
Machine Translation (SP)
|
0
|
||
|
Machine Translation (HP)
|
98% |
3313
57.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3543
61.2 IPS |
