iPad13,18
Geekbench AI Score
2616
Single Precision Score
4711
Half Precision Score
3943
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | KenTang |
| Upload Date | October 16 2025 08:41 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1194
222.1 IPS |
|
|
Image Classification (HP)
|
100% |
2036
378.6 IPS |
|
|
Image Classification (Q)
|
96% |
1453
271.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1055
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1722
27.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2168
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4923
5.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
10827
12.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
9645
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1221
96.9 IPS |
|
|
Object Detection (HP)
|
97% |
2191
174.4 IPS |
|
|
Object Detection (Q)
|
94% |
1644
131.0 IPS |
|
|
Face Detection (SP)
|
100% |
2409
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
4533
53.9 IPS |
|
|
Face Detection (Q)
|
100% |
2624
31.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4741
36.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9150
70.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6686
52.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13074
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22761
29.3 IPS |
|
|
Style Transfer (Q)
|
96% |
19742
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2724
100.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4166
153.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3199
118.1 IPS |
|
|
Text Classification (SP)
|
100% |
2296
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
4056
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4049
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2124
36.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4062
70.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4060
70.2 IPS |
