iPad Pro (11-inch 3rd generation)
Geekbench ML Score
2882
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 26 2023 07:56 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.1 |
| 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 |
| 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 | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6909
740.2 IPS |
|
|
Image Classification (F16)
|
100% |
6882
737.4 IPS |
|
|
Image Classification (I8)
|
81% |
688
73.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2451
15.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2446
15.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
1254
7.75 IPS |
|
|
Pose Estimation (F32)
|
100% |
19685
79.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
19287
78.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
240
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
6478
227.3 IPS |
|
|
Object Detection (F16)
|
100% |
6513
228.6 IPS |
|
|
Object Detection (I8)
|
52% |
975
34.2 IPS |
|
|
Face Detection (F32)
|
100% |
9003
103.4 IPS |
|
|
Face Detection (F16)
|
100% |
8987
103.2 IPS |
|
|
Face Detection (I8)
|
75% |
961
11.0 IPS |
|
|
Text Classification (F32)
|
100% |
1467
580.1 IPS |
|
|
Text Classification (F16)
|
100% |
1471
581.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1862
287.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1885
290.6 IPS |
