iPad Pro (12.9-inch 3rd Generation)
Geekbench ML Score
694
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 30 2024 08:24 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
360
67.4 IPS |
|
|
Image Classification (F16)
|
100% |
324
60.6 IPS |
|
|
Image Classification (I8)
|
99% |
322
60.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
298
4.98 IPS |
|
|
Image Segmentation (F16)
|
100% |
289
4.83 IPS |
|
|
Image Segmentation (I8)
|
100% |
291
4.85 IPS |
|
|
Pose Estimation (F32)
|
100% |
2122
2.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
2097
2.54 IPS |
|
|
Pose Estimation (I8)
|
100% |
2111
2.56 IPS |
|
|
Object Detection (F32)
|
100% |
393
29.3 IPS |
|
|
Object Detection (F16)
|
100% |
350
26.1 IPS |
|
|
Object Detection (I8)
|
97% |
392
29.2 IPS |
|
|
Face Detection (F32)
|
100% |
838
9.97 IPS |
|
|
Face Detection (F16)
|
100% |
819
9.74 IPS |
|
|
Face Detection (I8)
|
99% |
821
9.77 IPS |
|
|
Depth Estimation (F32)
|
100% |
1027
7.96 IPS |
|
|
Depth Estimation (F16)
|
100% |
931
7.22 IPS |
|
|
Depth Estimation (I8)
|
99% |
930
7.21 IPS |
|
|
Style Transfer (F32)
|
100% |
3487
4.59 IPS |
|
|
Style Transfer (F16)
|
100% |
3460
4.55 IPS |
|
|
Style Transfer (I8)
|
100% |
3446
4.53 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
976
34.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
958
34.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
966
34.5 IPS |
|
|
Text Classification (F32)
|
100% |
260
374.2 IPS |
|
|
Text Classification (F16)
|
100% |
304
436.8 IPS |
|
|
Text Classification (I8)
|
96% |
304
436.3 IPS |
|
|
Machine Translation (F32)
|
100% |
480
8.83 IPS |
|
|
Machine Translation (F16)
|
100% |
364
6.70 IPS |
|
|
Machine Translation (I8)
|
99% |
470
8.64 IPS |
