iPad13,18
Geekbench AI Score
1378
Single Precision Score
2301
Half Precision Score
1855
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | LMalhuthifi |
| Upload Date | December 02 2025 05:53 AM |
| Views | 3 |
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 | 1.29 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
555
103.3 IPS |
|
|
Image Classification (HP)
|
100% |
880
163.6 IPS |
|
|
Image Classification (Q)
|
96% |
611
114.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
891
14.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1026
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2698
3.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
5955
6.95 IPS |
|
|
Pose Estimation (Q)
|
95% |
5165
6.05 IPS |
|
|
Object Detection (SP)
|
100% |
593
47.0 IPS |
|
|
Object Detection (HP)
|
97% |
997
79.4 IPS |
|
|
Object Detection (Q)
|
94% |
699
55.7 IPS |
|
|
Face Detection (SP)
|
100% |
1345
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
2271
27.0 IPS |
|
|
Face Detection (Q)
|
100% |
1308
15.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2244
17.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
4180
32.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
2999
23.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7050
9.06 IPS |
|
|
Style Transfer (HP)
|
100% |
11396
14.6 IPS |
|
|
Style Transfer (Q)
|
96% |
9285
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1625
60.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2103
77.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1511
55.8 IPS |
|
|
Text Classification (SP)
|
100% |
1054
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
1842
2.46 KIPS |
|
|
Text Classification (Q)
|
93% |
1809
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1194
20.6 IPS |
|
|
Machine Translation (HP)
|
98% |
2142
37.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2145
37.1 IPS |
