iPad13,17
Geekbench ML Score
1842
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 06 2025 02:50 AM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.3 |
| Model | iPad13,17 |
| Model ID | iPad13,17 |
| Motherboard | J408AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 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 | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
887
166.1 IPS |
|
|
Image Classification (F16)
|
100% |
848
158.7 IPS |
|
|
Image Classification (I8)
|
99% |
845
158.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
644
10.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
577
9.63 IPS |
|
|
Image Segmentation (I8)
|
100% |
574
9.58 IPS |
|
|
Pose Estimation (F32)
|
100% |
5199
6.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
9350
11.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
9368
11.3 IPS |
|
|
Object Detection (F32)
|
100% |
940
70.2 IPS |
|
|
Object Detection (F16)
|
100% |
1003
74.9 IPS |
|
|
Object Detection (I8)
|
97% |
922
68.9 IPS |
|
|
Face Detection (F32)
|
100% |
1731
20.6 IPS |
|
|
Face Detection (F16)
|
100% |
1593
18.9 IPS |
|
|
Face Detection (I8)
|
99% |
1583
18.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
3200
24.8 IPS |
|
|
Depth Estimation (F16)
|
99% |
3583
27.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
3556
27.6 IPS |
|
|
Style Transfer (F32)
|
100% |
9586
12.6 IPS |
|
|
Style Transfer (F16)
|
100% |
11555
15.2 IPS |
|
|
Style Transfer (I8)
|
100% |
11543
15.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2180
77.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2391
85.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2382
85.1 IPS |
|
|
Text Classification (F32)
|
100% |
890
1.28 KIPS |
|
|
Text Classification (F16)
|
100% |
431
619.8 IPS |
|
|
Text Classification (I8)
|
96% |
584
838.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1255
23.1 IPS |
|
|
Machine Translation (F16)
|
99% |
1711
31.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1252
23.0 IPS |
