iPad Pro (11-inch)
Geekbench ML Score
657
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 22 2024 08:29 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.3 |
| Model | iPad Pro (11-inch) |
| Model ID | iPad8,1 |
| Motherboard | J317AP |
| 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 | 3.69 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
356
66.7 IPS |
|
|
Image Classification (F16)
|
100% |
319
59.6 IPS |
|
|
Image Classification (I8)
|
99% |
320
59.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
216
3.60 IPS |
|
|
Image Segmentation (F16)
|
100% |
210
3.52 IPS |
|
|
Image Segmentation (I8)
|
100% |
212
3.54 IPS |
|
|
Pose Estimation (F32)
|
100% |
2114
2.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
2128
2.58 IPS |
|
|
Pose Estimation (I8)
|
100% |
2026
2.45 IPS |
|
|
Object Detection (F32)
|
100% |
406
30.3 IPS |
|
|
Object Detection (F16)
|
100% |
356
26.6 IPS |
|
|
Object Detection (I8)
|
97% |
401
30.0 IPS |
|
|
Face Detection (F32)
|
100% |
858
10.2 IPS |
|
|
Face Detection (F16)
|
100% |
841
10.0 IPS |
|
|
Face Detection (I8)
|
99% |
814
9.68 IPS |
|
|
Depth Estimation (F32)
|
100% |
1062
8.24 IPS |
|
|
Depth Estimation (F16)
|
100% |
971
7.53 IPS |
|
|
Depth Estimation (I8)
|
99% |
964
7.48 IPS |
|
|
Style Transfer (F32)
|
100% |
3505
4.61 IPS |
|
|
Style Transfer (F16)
|
100% |
3470
4.56 IPS |
|
|
Style Transfer (I8)
|
100% |
3450
4.54 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1008
36.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
992
35.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
992
35.4 IPS |
|
|
Text Classification (F32)
|
100% |
259
372.7 IPS |
|
|
Text Classification (F16)
|
100% |
301
432.9 IPS |
|
|
Text Classification (I8)
|
96% |
303
434.9 IPS |
|
|
Machine Translation (F32)
|
100% |
341
6.28 IPS |
|
|
Machine Translation (F16)
|
100% |
275
5.07 IPS |
|
|
Machine Translation (I8)
|
99% |
346
6.36 IPS |
