iPad Pro (9.7-inch)
Geekbench ML Score
496
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 05 2024 04:42 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.8 |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
277
51.8 IPS |
|
|
Image Classification (F16)
|
100% |
246
46.0 IPS |
|
|
Image Classification (I8)
|
99% |
248
46.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
141
2.36 IPS |
|
|
Image Segmentation (F16)
|
100% |
142
2.37 IPS |
|
|
Image Segmentation (I8)
|
100% |
152
2.53 IPS |
|
|
Pose Estimation (F32)
|
100% |
1879
2.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
1880
2.28 IPS |
|
|
Pose Estimation (I8)
|
100% |
1910
2.31 IPS |
|
|
Object Detection (F32)
|
100% |
321
24.0 IPS |
|
|
Object Detection (F16)
|
100% |
306
22.8 IPS |
|
|
Object Detection (I8)
|
97% |
297
22.2 IPS |
|
|
Face Detection (F32)
|
100% |
1016
12.1 IPS |
|
|
Face Detection (F16)
|
100% |
1027
12.2 IPS |
|
|
Face Detection (I8)
|
99% |
905
10.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2233
17.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2081
16.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
1972
15.3 IPS |
|
|
Style Transfer (F32)
|
100% |
4376
5.76 IPS |
|
|
Style Transfer (F16)
|
100% |
4171
5.49 IPS |
|
|
Style Transfer (I8)
|
100% |
4596
6.05 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
935
33.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1008
36.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
938
33.5 IPS |
|
|
Text Classification (F32)
|
100% |
54
77.6 IPS |
|
|
Text Classification (F16)
|
100% |
59
84.8 IPS |
|
|
Text Classification (I8)
|
96% |
59
84.8 IPS |
|
|
Machine Translation (F32)
|
100% |
84
1.54 IPS |
|
|
Machine Translation (F16)
|
100% |
80
1.47 IPS |
|
|
Machine Translation (I8)
|
99% |
91
1.68 IPS |
