iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
3544
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 26 2024 11:29 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.35 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1387
259.6 IPS |
|
|
Image Classification (F16)
|
100% |
2150
402.2 IPS |
|
|
Image Classification (I8)
|
99% |
2145
401.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
655
10.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
786
13.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
781
13.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
6307
7.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
13415
16.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
13414
16.2 IPS |
|
|
Object Detection (F32)
|
100% |
1354
101.1 IPS |
|
|
Object Detection (F16)
|
100% |
1986
148.3 IPS |
|
|
Object Detection (I8)
|
97% |
1356
101.2 IPS |
|
|
Face Detection (F32)
|
100% |
2993
35.6 IPS |
|
|
Face Detection (F16)
|
97% |
5401
64.2 IPS |
|
|
Face Detection (I8)
|
97% |
5395
64.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5785
44.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
10973
85.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
10978
85.1 IPS |
|
|
Style Transfer (F32)
|
100% |
16765
22.1 IPS |
|
|
Style Transfer (F16)
|
100% |
25807
33.9 IPS |
|
|
Style Transfer (I8)
|
100% |
25896
34.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3913
139.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4741
169.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4719
168.5 IPS |
|
|
Text Classification (F32)
|
100% |
2122
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3622
5.21 KIPS |
|
|
Text Classification (I8)
|
96% |
3639
5.23 KIPS |
|
|
Machine Translation (F32)
|
100% |
1124
20.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1392
25.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1109
20.4 IPS |
