iPad13,18
Geekbench AI Score
1123
Single Precision Score
1833
Half Precision Score
3298
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 04 2025 12:56 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% |
1185
220.3 IPS |
|
|
Image Classification (HP)
|
100% |
1940
360.7 IPS |
|
|
Image Classification (Q)
|
96% |
1367
255.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1051
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1698
27.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2092
33.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5032
5.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
10250
12.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
9167
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1269
100.7 IPS |
|
|
Object Detection (HP)
|
97% |
2089
166.3 IPS |
|
|
Object Detection (Q)
|
94% |
1545
123.2 IPS |
|
|
Face Detection (SP)
|
100% |
2346
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
4369
51.9 IPS |
|
|
Face Detection (Q)
|
100% |
2579
30.6 IPS |
|
|
Depth Estimation (SP)
|
0
|
||
|
Depth Estimation (HP)
|
0
|
||
|
Depth Estimation (Q)
|
86% |
1665
13.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13088
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22636
29.1 IPS |
|
|
Style Transfer (Q)
|
96% |
19559
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2808
103.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4334
160.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3143
116.1 IPS |
|
|
Text Classification (SP)
|
100% |
2160
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
3768
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3752
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2161
37.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3767
65.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3804
65.7 IPS |
