iPad Pro (12.9-inch)
Geekbench ML Score
596
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 07 2025 10:11 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
234
43.8 IPS |
|
|
Image Classification (F16)
|
100% |
228
42.7 IPS |
|
|
Image Classification (I8)
|
99% |
207
38.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
189
3.15 IPS |
|
|
Image Segmentation (F16)
|
100% |
187
3.12 IPS |
|
|
Image Segmentation (I8)
|
100% |
186
3.10 IPS |
|
|
Pose Estimation (F32)
|
100% |
1995
2.42 IPS |
|
|
Pose Estimation (F16)
|
100% |
1962
2.38 IPS |
|
|
Pose Estimation (I8)
|
100% |
1963
2.38 IPS |
|
|
Object Detection (F32)
|
100% |
267
19.9 IPS |
|
|
Object Detection (F16)
|
100% |
341
25.5 IPS |
|
|
Object Detection (I8)
|
97% |
305
22.8 IPS |
|
|
Face Detection (F32)
|
100% |
1397
16.6 IPS |
|
|
Face Detection (F16)
|
100% |
1315
15.6 IPS |
|
|
Face Detection (I8)
|
99% |
1309
15.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2149
16.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
2063
16.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
2205
17.1 IPS |
|
|
Style Transfer (F32)
|
100% |
5139
6.76 IPS |
|
|
Style Transfer (F16)
|
100% |
4748
6.25 IPS |
|
|
Style Transfer (I8)
|
100% |
4707
6.19 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1148
41.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1082
38.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1069
38.2 IPS |
|
|
Text Classification (F32)
|
100% |
43
62.0 IPS |
|
|
Text Classification (F16)
|
100% |
100
144.4 IPS |
|
|
Text Classification (I8)
|
96% |
100
143.3 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 |
