iPad Pro (12.9-inch 3rd Generation)
Geekbench ML Score
1998
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 12 2024 02:26 PM |
| Views | 4 |
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% |
833
155.9 IPS |
|
|
Image Classification (F16)
|
100% |
2322
434.6 IPS |
|
|
Image Classification (I8)
|
99% |
2275
425.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
365
6.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
394
6.58 IPS |
|
|
Image Segmentation (I8)
|
100% |
395
6.60 IPS |
|
|
Pose Estimation (F32)
|
100% |
3032
3.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
25663
31.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
25552
30.9 IPS |
|
|
Object Detection (F32)
|
100% |
872
65.1 IPS |
|
|
Object Detection (F16)
|
100% |
1086
81.1 IPS |
|
|
Object Detection (I8)
|
97% |
891
66.5 IPS |
|
|
Face Detection (F32)
|
100% |
3394
40.4 IPS |
|
|
Face Detection (F16)
|
97% |
3792
45.1 IPS |
|
|
Face Detection (I8)
|
96% |
3754
44.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
3104
24.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
19608
152.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
19971
154.9 IPS |
|
|
Style Transfer (F32)
|
24% |
8326
11.0 IPS |
|
|
Style Transfer (F16)
|
30% |
11206
14.7 IPS |
|
|
Style Transfer (I8)
|
30% |
11180
14.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1710
61.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3861
137.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3735
133.4 IPS |
|
|
Text Classification (F32)
|
100% |
216
310.9 IPS |
|
|
Text Classification (F16)
|
100% |
259
372.5 IPS |
|
|
Text Classification (I8)
|
96% |
258
370.3 IPS |
|
|
Machine Translation (F32)
|
100% |
499
9.19 IPS |
|
|
Machine Translation (F16)
|
100% |
458
8.43 IPS |
|
|
Machine Translation (I8)
|
99% |
499
9.19 IPS |
