iPad13,18
Geekbench AI Score
2633
Single Precision Score
4544
Half Precision Score
3775
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 01:20 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% |
1210
225.0 IPS |
|
|
Image Classification (HP)
|
100% |
1925
357.9 IPS |
|
|
Image Classification (Q)
|
96% |
1360
254.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1019
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1697
27.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2078
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5328
6.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
11044
12.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
9726
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1273
101.0 IPS |
|
|
Object Detection (HP)
|
97% |
2108
167.8 IPS |
|
|
Object Detection (Q)
|
94% |
1550
123.5 IPS |
|
|
Face Detection (SP)
|
100% |
2323
27.6 IPS |
|
|
Face Detection (HP)
|
100% |
4302
51.1 IPS |
|
|
Face Detection (Q)
|
100% |
2558
30.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4811
37.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
8919
68.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6461
50.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13618
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
23517
30.2 IPS |
|
|
Style Transfer (Q)
|
96% |
19796
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2867
105.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4051
149.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3116
115.1 IPS |
|
|
Text Classification (SP)
|
100% |
2080
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
3634
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3636
4.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2113
36.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3717
64.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3727
64.4 IPS |
