iPad Pro (10.5-inch)
Geekbench ML Score
459
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 25 2025 02:56 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.3.1 |
| Model | iPad Pro (10.5-inch) |
| Model ID | iPad7,3 |
| Motherboard | J207AP |
| CPU Information | |
|---|---|
| Name | Apple A10X Fusion |
| Topology | 1 Processor, 3 Cores |
| Identifier | ARM |
| Base Frequency | 2.34 GHz |
| Cluster 1 | 3 Cores |
| L1 Instruction Cache | 64.0 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.91 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
251
46.9 IPS |
|
|
Image Classification (F16)
|
100% |
220
41.2 IPS |
|
|
Image Classification (I8)
|
99% |
220
41.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
200
3.34 IPS |
|
|
Image Segmentation (F16)
|
100% |
200
3.35 IPS |
|
|
Image Segmentation (I8)
|
100% |
200
3.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
1494
1.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
1487
1.80 IPS |
|
|
Pose Estimation (I8)
|
100% |
1484
1.80 IPS |
|
|
Object Detection (F32)
|
100% |
287
21.4 IPS |
|
|
Object Detection (F16)
|
100% |
253
18.9 IPS |
|
|
Object Detection (I8)
|
97% |
287
21.5 IPS |
|
|
Face Detection (F32)
|
100% |
538
6.40 IPS |
|
|
Face Detection (F16)
|
100% |
529
6.28 IPS |
|
|
Face Detection (I8)
|
99% |
528
6.27 IPS |
|
|
Depth Estimation (F32)
|
100% |
669
5.19 IPS |
|
|
Depth Estimation (F16)
|
100% |
610
4.73 IPS |
|
|
Depth Estimation (I8)
|
99% |
607
4.70 IPS |
|
|
Style Transfer (F32)
|
100% |
2113
2.78 IPS |
|
|
Style Transfer (F16)
|
100% |
2101
2.76 IPS |
|
|
Style Transfer (I8)
|
100% |
2103
2.77 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
666
23.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
658
23.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
659
23.5 IPS |
|
|
Text Classification (F32)
|
100% |
166
238.7 IPS |
|
|
Text Classification (F16)
|
100% |
135
194.3 IPS |
|
|
Text Classification (I8)
|
96% |
135
193.3 IPS |
|
|
Machine Translation (F32)
|
100% |
361
6.65 IPS |
|
|
Machine Translation (F16)
|
100% |
287
5.28 IPS |
|
|
Machine Translation (I8)
|
99% |
362
6.66 IPS |
