iPad13,18
Geekbench AI Score
2703
Single Precision Score
4631
Half Precision Score
3841
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 30 2025 02:17 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% |
1230
228.8 IPS |
|
|
Image Classification (HP)
|
100% |
1944
361.6 IPS |
|
|
Image Classification (Q)
|
96% |
1368
255.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1073
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1733
28.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2130
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5446
6.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
11135
13.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
10008
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1300
103.1 IPS |
|
|
Object Detection (HP)
|
97% |
2148
171.0 IPS |
|
|
Object Detection (Q)
|
94% |
1578
125.7 IPS |
|
|
Face Detection (SP)
|
100% |
2423
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
4456
53.0 IPS |
|
|
Face Detection (Q)
|
100% |
2638
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4872
37.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9094
70.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6455
50.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13887
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23782
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
20013
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2933
108.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4101
151.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3148
116.2 IPS |
|
|
Text Classification (SP)
|
100% |
2132
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3677
4.91 KIPS |
|
|
Text Classification (Q)
|
93% |
3661
4.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2180
37.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3879
67.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3874
66.9 IPS |
