iPad Pro (9.7-inch)
Geekbench ML Score
571
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 06 2024 09:43 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| Model | iPad Pro (9.7-inch) |
| Model ID | iPad6,4 |
| Motherboard | J128AP |
| CPU Information | |
|---|---|
| Name | Apple A9X |
| Topology | 1 Processor, 2 Cores |
| Identifier | ARM |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores |
| L1 Instruction Cache | 64.0 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 3.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 1.92 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
247
46.3 IPS |
|
|
Image Classification (F16)
|
100% |
203
38.0 IPS |
|
|
Image Classification (I8)
|
99% |
204
38.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
173
2.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
164
2.74 IPS |
|
|
Image Segmentation (I8)
|
100% |
175
2.93 IPS |
|
|
Pose Estimation (F32)
|
100% |
2067
2.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
2050
2.48 IPS |
|
|
Pose Estimation (I8)
|
100% |
2022
2.45 IPS |
|
|
Object Detection (F32)
|
100% |
376
28.1 IPS |
|
|
Object Detection (F16)
|
100% |
400
29.9 IPS |
|
|
Object Detection (I8)
|
97% |
398
29.7 IPS |
|
|
Face Detection (F32)
|
100% |
1234
14.7 IPS |
|
|
Face Detection (F16)
|
100% |
1167
13.9 IPS |
|
|
Face Detection (I8)
|
99% |
1157
13.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2144
16.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2090
16.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
2182
16.9 IPS |
|
|
Style Transfer (F32)
|
100% |
4788
6.30 IPS |
|
|
Style Transfer (F16)
|
100% |
4760
6.26 IPS |
|
|
Style Transfer (I8)
|
100% |
5082
6.68 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1139
40.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1066
38.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1145
40.9 IPS |
|
|
Text Classification (F32)
|
100% |
52
74.3 IPS |
|
|
Text Classification (F16)
|
100% |
96
138.1 IPS |
|
|
Text Classification (I8)
|
96% |
97
139.1 IPS |
|
|
Machine Translation (F32)
|
100% |
129
2.38 IPS |
|
|
Machine Translation (F16)
|
100% |
102
1.87 IPS |
|
|
Machine Translation (I8)
|
99% |
117
2.15 IPS |
