iPad Pro (11-inch 3rd generation)
Geekbench ML Score
1953
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 09 2024 10:04 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| 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% |
1072
200.7 IPS |
|
|
Image Classification (F16)
|
100% |
972
182.0 IPS |
|
|
Image Classification (I8)
|
99% |
976
182.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
448
7.48 IPS |
|
|
Image Segmentation (F16)
|
100% |
414
6.92 IPS |
|
|
Image Segmentation (I8)
|
100% |
414
6.91 IPS |
|
|
Pose Estimation (F32)
|
100% |
5549
6.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
11108
13.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
11135
13.5 IPS |
|
|
Object Detection (F32)
|
100% |
1106
82.6 IPS |
|
|
Object Detection (F16)
|
100% |
1078
80.5 IPS |
|
|
Object Detection (I8)
|
97% |
1104
82.4 IPS |
|
|
Face Detection (F32)
|
100% |
2180
25.9 IPS |
|
|
Face Detection (F16)
|
100% |
1817
21.6 IPS |
|
|
Face Detection (I8)
|
99% |
1824
21.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
3845
29.8 IPS |
|
|
Depth Estimation (F16)
|
99% |
4108
31.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
4113
31.9 IPS |
|
|
Style Transfer (F32)
|
100% |
10545
13.9 IPS |
|
|
Style Transfer (F16)
|
100% |
12585
16.6 IPS |
|
|
Style Transfer (I8)
|
100% |
12610
16.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2908
103.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2747
98.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2750
98.2 IPS |
|
|
Text Classification (F32)
|
100% |
1180
1.70 KIPS |
|
|
Text Classification (F16)
|
100% |
766
1.10 KIPS |
|
|
Text Classification (I8)
|
96% |
766
1.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
817
15.0 IPS |
|
|
Machine Translation (F16)
|
99% |
937
17.2 IPS |
|
|
Machine Translation (I8)
|
99% |
818
15.0 IPS |
