iPad13,18
Geekbench AI Score
2669
Single Precision Score
12251
Half Precision Score
12586
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | KenTang |
| Upload Date | October 16 2025 09:07 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1181
219.7 IPS |
|
|
Image Classification (HP)
|
100% |
4547
845.6 IPS |
|
|
Image Classification (Q)
|
96% |
4562
852.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1041
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7683
124.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8474
137.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4973
5.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
61579
71.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
60322
70.7 IPS |
|
|
Object Detection (SP)
|
100% |
1237
98.1 IPS |
|
|
Object Detection (HP)
|
99% |
6036
480.1 IPS |
|
|
Object Detection (Q)
|
91% |
5594
447.0 IPS |
|
|
Face Detection (SP)
|
100% |
2460
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
12113
143.9 IPS |
|
|
Face Detection (Q)
|
100% |
11008
130.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4867
37.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
37811
291.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
41275
322.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13595
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
93264
119.9 IPS |
|
|
Style Transfer (Q)
|
96% |
91413
118.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2844
105.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18247
673.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19123
706.1 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2342
3.13 KIPS |
|
|
Text Classification (Q)
|
93% |
2349
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2282
39.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3215
55.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4101
70.9 IPS |
