iPad13,18
Geekbench AI Score
2664
Single Precision Score
4765
Half Precision Score
3974
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 08:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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
223.4 IPS |
|
|
Image Classification (HP)
|
100% |
2023
376.1 IPS |
|
|
Image Classification (Q)
|
96% |
1443
269.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1086
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1688
27.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2146
34.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4927
5.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
10992
12.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
9733
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1224
97.1 IPS |
|
|
Object Detection (HP)
|
97% |
2236
178.0 IPS |
|
|
Object Detection (Q)
|
94% |
1657
132.1 IPS |
|
|
Face Detection (SP)
|
100% |
2490
29.6 IPS |
|
|
Face Detection (HP)
|
100% |
4670
55.5 IPS |
|
|
Face Detection (Q)
|
100% |
2717
32.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4817
37.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9328
72.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
6741
52.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13294
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22967
29.5 IPS |
|
|
Style Transfer (Q)
|
96% |
19882
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2768
102.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4130
152.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3215
118.7 IPS |
|
|
Text Classification (SP)
|
100% |
2318
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
4128
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4063
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2241
38.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4221
72.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4144
71.6 IPS |
