iPad Pro (12.9-inch 3rd Generation)
Geekbench ML Score
2022
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 23 2024 11:33 AM |
| Views | 1 |
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% |
877
164.1 IPS |
|
|
Image Classification (F16)
|
100% |
2284
427.4 IPS |
|
|
Image Classification (I8)
|
99% |
2309
432.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
366
6.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
394
6.58 IPS |
|
|
Image Segmentation (I8)
|
100% |
397
6.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
3035
3.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
25595
31.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
25818
31.3 IPS |
|
|
Object Detection (F32)
|
100% |
873
65.1 IPS |
|
|
Object Detection (F16)
|
100% |
1113
83.1 IPS |
|
|
Object Detection (I8)
|
97% |
921
68.8 IPS |
|
|
Face Detection (F32)
|
100% |
3379
40.2 IPS |
|
|
Face Detection (F16)
|
97% |
3767
44.8 IPS |
|
|
Face Detection (I8)
|
96% |
3767
44.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
3113
24.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
19936
154.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
19877
154.1 IPS |
|
|
Style Transfer (F32)
|
24% |
8307
10.9 IPS |
|
|
Style Transfer (F16)
|
30% |
11290
14.9 IPS |
|
|
Style Transfer (I8)
|
30% |
11350
14.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1672
59.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3895
139.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4044
144.4 IPS |
|
|
Text Classification (F32)
|
100% |
223
320.1 IPS |
|
|
Text Classification (F16)
|
100% |
270
388.0 IPS |
|
|
Text Classification (I8)
|
96% |
269
386.3 IPS |
|
|
Machine Translation (F32)
|
100% |
499
9.19 IPS |
|
|
Machine Translation (F16)
|
100% |
471
8.66 IPS |
|
|
Machine Translation (I8)
|
99% |
498
9.16 IPS |
