iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
2992
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 01:12 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,8 |
| Motherboard | J522AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 7.31 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1294
242.1 IPS |
|
|
Image Classification (F16)
|
100% |
1660
310.7 IPS |
|
|
Image Classification (I8)
|
99% |
1664
311.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
601
10.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
594
9.92 IPS |
|
|
Image Segmentation (I8)
|
100% |
590
9.85 IPS |
|
|
Pose Estimation (F32)
|
100% |
5619
6.80 IPS |
|
|
Pose Estimation (F16)
|
100% |
12929
15.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
12958
15.7 IPS |
|
|
Object Detection (F32)
|
100% |
1279
95.5 IPS |
|
|
Object Detection (F16)
|
100% |
1731
129.2 IPS |
|
|
Object Detection (I8)
|
97% |
1301
97.1 IPS |
|
|
Face Detection (F32)
|
100% |
2368
28.2 IPS |
|
|
Face Detection (F16)
|
97% |
3984
47.4 IPS |
|
|
Face Detection (I8)
|
97% |
3982
47.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5178
40.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
8117
62.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
8115
62.9 IPS |
|
|
Style Transfer (F32)
|
100% |
15591
20.5 IPS |
|
|
Style Transfer (F16)
|
100% |
24381
32.1 IPS |
|
|
Style Transfer (I8)
|
100% |
24261
31.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3504
125.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4555
162.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4568
163.2 IPS |
|
|
Text Classification (F32)
|
100% |
2104
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3437
4.94 KIPS |
|
|
Text Classification (I8)
|
96% |
3371
4.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
716
13.2 IPS |
|
|
Machine Translation (F16)
|
100% |
857
15.8 IPS |
|
|
Machine Translation (I8)
|
99% |
724
13.3 IPS |
