iPad Pro (12.9-inch 3rd Generation)
Geekbench ML Score
2003
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 12:25 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.6 |
| Model | iPad Pro (12.9-inch 3rd Generation) |
| Model ID | iPad8,5 |
| Motherboard | J320AP |
| CPU Information | |
|---|---|
| Name | Apple A12X Bionic |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 2.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.66 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
868
162.5 IPS |
|
|
Image Classification (F16)
|
100% |
2276
426.0 IPS |
|
|
Image Classification (I8)
|
99% |
2283
427.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
359
6.00 IPS |
|
|
Image Segmentation (F16)
|
100% |
397
6.64 IPS |
|
|
Image Segmentation (I8)
|
100% |
393
6.56 IPS |
|
|
Pose Estimation (F32)
|
100% |
2999
3.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
25492
30.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
25501
30.9 IPS |
|
|
Object Detection (F32)
|
100% |
877
65.5 IPS |
|
|
Object Detection (F16)
|
100% |
1097
81.9 IPS |
|
|
Object Detection (I8)
|
97% |
899
67.2 IPS |
|
|
Face Detection (F32)
|
100% |
3377
40.2 IPS |
|
|
Face Detection (F16)
|
97% |
3774
44.9 IPS |
|
|
Face Detection (I8)
|
96% |
3756
44.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
3214
24.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
19820
153.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
20685
160.4 IPS |
|
|
Style Transfer (F32)
|
24% |
8162
10.7 IPS |
|
|
Style Transfer (F16)
|
30% |
11180
14.7 IPS |
|
|
Style Transfer (I8)
|
30% |
11175
14.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1700
60.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3911
139.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3733
133.3 IPS |
|
|
Text Classification (F32)
|
100% |
216
310.2 IPS |
|
|
Text Classification (F16)
|
100% |
261
374.5 IPS |
|
|
Text Classification (I8)
|
96% |
258
371.4 IPS |
|
|
Machine Translation (F32)
|
100% |
498
9.17 IPS |
|
|
Machine Translation (F16)
|
100% |
459
8.44 IPS |
|
|
Machine Translation (I8)
|
99% |
498
9.17 IPS |
