iPad Pro (11-inch 3rd generation)
Geekbench ML Score
3026
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 09 2024 08:11 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,5 |
| Motherboard | J517xAP |
| 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% |
1286
240.6 IPS |
|
|
Image Classification (F16)
|
100% |
1678
314.1 IPS |
|
|
Image Classification (I8)
|
99% |
1680
314.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
636
10.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
629
10.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
630
10.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
5620
6.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
12928
15.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
12957
15.7 IPS |
|
|
Object Detection (F32)
|
100% |
1310
97.8 IPS |
|
|
Object Detection (F16)
|
100% |
1746
130.4 IPS |
|
|
Object Detection (I8)
|
97% |
1312
97.9 IPS |
|
|
Face Detection (F32)
|
100% |
2356
28.0 IPS |
|
|
Face Detection (F16)
|
97% |
3980
47.3 IPS |
|
|
Face Detection (I8)
|
97% |
3974
47.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5172
40.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
8110
62.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
8104
62.8 IPS |
|
|
Style Transfer (F32)
|
100% |
15665
20.6 IPS |
|
|
Style Transfer (F16)
|
100% |
24333
32.0 IPS |
|
|
Style Transfer (I8)
|
100% |
24443
32.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3505
125.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4733
169.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4764
170.1 IPS |
|
|
Text Classification (F32)
|
100% |
2133
3.07 KIPS |
|
|
Text Classification (F16)
|
100% |
3285
4.72 KIPS |
|
|
Text Classification (I8)
|
96% |
3393
4.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
745
13.7 IPS |
|
|
Machine Translation (F16)
|
100% |
866
15.9 IPS |
|
|
Machine Translation (I8)
|
99% |
724
13.3 IPS |
