iPad Pro (10.5-inch)
Geekbench ML Score
93
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 25 2024 05:31 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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% |
340
63.7 IPS |
|
|
Image Classification (F16)
|
100% |
14
2.60 IPS |
|
|
Image Classification (I8)
|
99% |
14
2.61 IPS |
|
|
Image Segmentation (F32)
|
100% |
222
3.71 IPS |
|
|
Image Segmentation (F16)
|
100% |
18
0.30 IPS |
|
|
Image Segmentation (I8)
|
100% |
18
0.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
1634
1.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
20
0.02 IPS |
|
|
Pose Estimation (I8)
|
100% |
20
0.02 IPS |
|
|
Object Detection (F32)
|
100% |
344
25.7 IPS |
|
|
Object Detection (F16)
|
100% |
14
1.07 IPS |
|
|
Object Detection (I8)
|
97% |
343
25.6 IPS |
|
|
Face Detection (F32)
|
100% |
703
8.36 IPS |
|
|
Face Detection (F16)
|
98% |
45
0.53 IPS |
|
|
Face Detection (I8)
|
97% |
45
0.53 IPS |
|
|
Depth Estimation (F32)
|
100% |
826
6.41 IPS |
|
|
Depth Estimation (F16)
|
100% |
31
0.24 IPS |
|
|
Depth Estimation (I8)
|
99% |
30
0.24 IPS |
|
|
Style Transfer (F32)
|
100% |
2463
3.24 IPS |
|
|
Style Transfer (F16)
|
100% |
62
0.08 IPS |
|
|
Style Transfer (I8)
|
100% |
62
0.08 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
720
25.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
13
0.47 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
13
0.48 IPS |
|
|
Text Classification (F32)
|
100% |
213
306.2 IPS |
|
|
Text Classification (F16)
|
100% |
183
263.2 IPS |
|
|
Text Classification (I8)
|
96% |
183
263.1 IPS |
|
|
Machine Translation (F32)
|
100% |
318
5.86 IPS |
|
|
Machine Translation (F16)
|
100% |
31
0.56 IPS |
|
|
Machine Translation (I8)
|
99% |
314
5.77 IPS |
