iPad Pro (10.5-inch)
Geekbench ML Score
407
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 18 2024 08:40 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
244
45.7 IPS |
|
|
Image Classification (F16)
|
100% |
217
40.6 IPS |
|
|
Image Classification (I8)
|
99% |
217
40.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
151
2.52 IPS |
|
|
Image Segmentation (F16)
|
100% |
149
2.49 IPS |
|
|
Image Segmentation (I8)
|
100% |
149
2.49 IPS |
|
|
Pose Estimation (F32)
|
100% |
1484
1.80 IPS |
|
|
Pose Estimation (F16)
|
100% |
1474
1.79 IPS |
|
|
Pose Estimation (I8)
|
100% |
1476
1.79 IPS |
|
|
Object Detection (F32)
|
100% |
270
20.1 IPS |
|
|
Object Detection (F16)
|
100% |
235
17.5 IPS |
|
|
Object Detection (I8)
|
97% |
265
19.8 IPS |
|
|
Face Detection (F32)
|
100% |
515
6.13 IPS |
|
|
Face Detection (F16)
|
100% |
493
5.86 IPS |
|
|
Face Detection (I8)
|
99% |
490
5.82 IPS |
|
|
Depth Estimation (F32)
|
100% |
627
4.86 IPS |
|
|
Depth Estimation (F16)
|
100% |
577
4.47 IPS |
|
|
Depth Estimation (I8)
|
99% |
576
4.46 IPS |
|
|
Style Transfer (F32)
|
100% |
1983
2.61 IPS |
|
|
Style Transfer (F16)
|
100% |
1954
2.57 IPS |
|
|
Style Transfer (I8)
|
100% |
1911
2.51 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
596
21.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
588
21.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
587
21.0 IPS |
|
|
Text Classification (F32)
|
100% |
144
206.5 IPS |
|
|
Text Classification (F16)
|
100% |
118
170.2 IPS |
|
|
Text Classification (I8)
|
96% |
120
172.3 IPS |
|
|
Machine Translation (F32)
|
100% |
237
4.36 IPS |
|
|
Machine Translation (F16)
|
100% |
204
3.75 IPS |
|
|
Machine Translation (I8)
|
99% |
241
4.43 IPS |
