iPad Pro (12.9-inch)
Geekbench ML Score
601
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 06 2025 10:00 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| Model | iPad Pro (12.9-inch) |
| Model ID | iPad6,7 |
| Motherboard | J98aAP |
| 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 | 3.90 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
227
42.5 IPS |
|
|
Image Classification (F16)
|
100% |
230
43.0 IPS |
|
|
Image Classification (I8)
|
99% |
245
45.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
188
3.14 IPS |
|
|
Image Segmentation (I8)
|
100% |
186
3.10 IPS |
|
|
Pose Estimation (F32)
|
100% |
1994
2.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
1960
2.37 IPS |
|
|
Pose Estimation (I8)
|
100% |
1961
2.37 IPS |
|
|
Object Detection (F32)
|
100% |
299
22.4 IPS |
|
|
Object Detection (F16)
|
100% |
282
21.1 IPS |
|
|
Object Detection (I8)
|
97% |
402
30.0 IPS |
|
|
Face Detection (F32)
|
100% |
1384
16.5 IPS |
|
|
Face Detection (F16)
|
100% |
1330
15.8 IPS |
|
|
Face Detection (I8)
|
99% |
1309
15.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2054
15.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
2040
15.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
2124
16.5 IPS |
|
|
Style Transfer (F32)
|
100% |
4830
6.35 IPS |
|
|
Style Transfer (F16)
|
100% |
4667
6.14 IPS |
|
|
Style Transfer (I8)
|
100% |
4679
6.15 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1147
41.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1093
39.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1141
40.8 IPS |
|
|
Text Classification (F32)
|
100% |
45
64.2 IPS |
|
|
Text Classification (F16)
|
100% |
100
144.4 IPS |
|
|
Text Classification (I8)
|
96% |
100
144.1 IPS |
|
|
Machine Translation (F32)
|
100% |
208
3.83 IPS |
|
|
Machine Translation (F16)
|
100% |
176
3.24 IPS |
|
|
Machine Translation (I8)
|
99% |
209
3.85 IPS |
