iPad Pro (11-inch 3rd generation)
Geekbench ML Score
2989
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 01 2024 07:05 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,7 |
| Motherboard | J518xAP |
| 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 | 15.33 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1294
242.2 IPS |
|
|
Image Classification (F16)
|
100% |
1675
313.4 IPS |
|
|
Image Classification (I8)
|
99% |
1675
313.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
593
9.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
591
9.88 IPS |
|
|
Image Segmentation (I8)
|
100% |
593
9.90 IPS |
|
|
Pose Estimation (F32)
|
100% |
5648
6.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
12947
15.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
12957
15.7 IPS |
|
|
Object Detection (F32)
|
100% |
1263
94.3 IPS |
|
|
Object Detection (F16)
|
100% |
1738
129.8 IPS |
|
|
Object Detection (I8)
|
97% |
1256
93.8 IPS |
|
|
Face Detection (F32)
|
100% |
2383
28.3 IPS |
|
|
Face Detection (F16)
|
97% |
4033
48.0 IPS |
|
|
Face Detection (I8)
|
97% |
4039
48.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5202
40.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
8156
63.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
8169
63.4 IPS |
|
|
Style Transfer (F32)
|
100% |
15638
20.6 IPS |
|
|
Style Transfer (F16)
|
100% |
24386
32.1 IPS |
|
|
Style Transfer (I8)
|
100% |
24385
32.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3498
124.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4509
161.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4542
162.2 IPS |
|
|
Text Classification (F32)
|
100% |
2104
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3342
4.80 KIPS |
|
|
Text Classification (I8)
|
96% |
3300
4.74 KIPS |
|
|
Machine Translation (F32)
|
100% |
723
13.3 IPS |
|
|
Machine Translation (F16)
|
100% |
865
15.9 IPS |
|
|
Machine Translation (I8)
|
99% |
721
13.3 IPS |
