iPad15,8
Geekbench ML Score
4063
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 23 2025 10:00 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad15,8 |
| Model ID | iPad15,8 |
| Motherboard | J482AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1342
251.1 IPS |
|
|
Image Classification (F16)
|
100% |
2574
481.6 IPS |
|
|
Image Classification (I8)
|
99% |
2580
482.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
951
15.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1236
20.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1236
20.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6128
7.42 IPS |
|
|
Pose Estimation (F16)
|
100% |
15162
18.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
15147
18.3 IPS |
|
|
Object Detection (F32)
|
100% |
1394
104.1 IPS |
|
|
Object Detection (F16)
|
100% |
2503
186.9 IPS |
|
|
Object Detection (I8)
|
97% |
1392
103.9 IPS |
|
|
Face Detection (F32)
|
100% |
3113
37.0 IPS |
|
|
Face Detection (F16)
|
97% |
5888
70.0 IPS |
|
|
Face Detection (I8)
|
96% |
5899
70.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5790
44.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
11645
90.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
11669
90.5 IPS |
|
|
Style Transfer (F32)
|
100% |
18322
24.1 IPS |
|
|
Style Transfer (F16)
|
100% |
28547
37.6 IPS |
|
|
Style Transfer (I8)
|
100% |
28525
37.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4025
143.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5376
192.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5298
189.2 IPS |
|
|
Text Classification (F32)
|
100% |
2596
3.73 KIPS |
|
|
Text Classification (F16)
|
100% |
4313
6.20 KIPS |
|
|
Text Classification (I8)
|
96% |
4470
6.42 KIPS |
|
|
Machine Translation (F32)
|
100% |
1368
25.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1627
29.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1289
23.7 IPS |
