iPad13,10
Geekbench ML Score
2897
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 13 2021 07:06 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| Model | iPad13,10 |
| Model ID | iPad13,10 |
| Motherboard | J523AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.20 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 | 7.22 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4133
442.8 IPS |
|
|
Image Classification (F16)
|
100% |
6004
643.3 IPS |
|
|
Image Classification (I8)
|
81% |
692
74.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
8202
50.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
11728
72.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
1269
7.84 IPS |
|
|
Pose Estimation (F32)
|
100% |
2879
11.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
6853
27.7 IPS |
|
|
Pose Estimation (I8)
|
80% |
241
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
3929
137.9 IPS |
|
|
Object Detection (F16)
|
100% |
3894
136.6 IPS |
|
|
Object Detection (I8)
|
52% |
986
34.6 IPS |
|
|
Face Detection (F32)
|
100% |
7106
81.6 IPS |
|
|
Face Detection (F16)
|
97% |
12641
145.2 IPS |
|
|
Face Detection (I8)
|
75% |
966
11.1 IPS |
|
|
Text Classification (F32)
|
100% |
3426
1.36 KIPS |
|
|
Text Classification (F16)
|
100% |
3942
1.56 KIPS |
|
|
Machine Translation (F32)
|
100% |
1842
283.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1848
284.7 IPS |
