iPad Pro (11-inch 3rd generation)
Geekbench ML Score
3001
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 10:26 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,6 |
| Motherboard | J518AP |
| 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 | 7.33 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% |
1673
313.1 IPS |
|
|
Image Classification (I8)
|
99% |
1670
312.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
597
9.97 IPS |
|
|
Image Segmentation (F16)
|
100% |
597
9.98 IPS |
|
|
Image Segmentation (I8)
|
100% |
596
9.96 IPS |
|
|
Pose Estimation (F32)
|
100% |
5627
6.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
12942
15.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
12934
15.7 IPS |
|
|
Object Detection (F32)
|
100% |
1304
97.4 IPS |
|
|
Object Detection (F16)
|
100% |
1742
130.1 IPS |
|
|
Object Detection (I8)
|
97% |
1301
97.2 IPS |
|
|
Face Detection (F32)
|
100% |
2391
28.4 IPS |
|
|
Face Detection (F16)
|
97% |
4006
47.6 IPS |
|
|
Face Detection (I8)
|
97% |
4006
47.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5179
40.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
8138
63.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
8153
63.2 IPS |
|
|
Style Transfer (F32)
|
100% |
15638
20.6 IPS |
|
|
Style Transfer (F16)
|
100% |
24400
32.1 IPS |
|
|
Style Transfer (I8)
|
100% |
24429
32.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3467
123.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4525
161.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4532
161.8 IPS |
|
|
Text Classification (F32)
|
100% |
2110
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3363
4.83 KIPS |
|
|
Text Classification (I8)
|
96% |
3397
4.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
728
13.4 IPS |
|
|
Machine Translation (F16)
|
100% |
870
16.0 IPS |
|
|
Machine Translation (I8)
|
99% |
731
13.4 IPS |
