iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
3405
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 03:44 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,10 |
| Motherboard | J523AP |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1644
307.7 IPS |
|
|
Image Classification (F16)
|
100% |
1188
222.3 IPS |
|
|
Image Classification (I8)
|
99% |
1323
247.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
843
14.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
842
14.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
865
14.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
16141
19.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
17592
21.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
17397
21.1 IPS |
|
|
Object Detection (F32)
|
100% |
1468
109.6 IPS |
|
|
Object Detection (F16)
|
100% |
1472
109.9 IPS |
|
|
Object Detection (I8)
|
97% |
1511
112.8 IPS |
|
|
Face Detection (F32)
|
100% |
5896
70.1 IPS |
|
|
Face Detection (F16)
|
98% |
7237
86.1 IPS |
|
|
Face Detection (I8)
|
97% |
7228
85.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
12033
93.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
13683
106.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
12681
98.3 IPS |
|
|
Style Transfer (F32)
|
100% |
27619
36.3 IPS |
|
|
Style Transfer (F16)
|
100% |
32707
43.0 IPS |
|
|
Style Transfer (I8)
|
100% |
33429
44.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4953
176.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6900
246.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5235
187.0 IPS |
|
|
Text Classification (F32)
|
100% |
1155
1.66 KIPS |
|
|
Text Classification (F16)
|
100% |
763
1.10 KIPS |
|
|
Text Classification (I8)
|
96% |
762
1.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
533
9.80 IPS |
|
|
Machine Translation (F16)
|
100% |
537
9.88 IPS |
|
|
Machine Translation (I8)
|
99% |
538
9.90 IPS |
