iPad14,5
Geekbench ML Score
3471
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 26 2022 08:40 AM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0 |
| Model | iPad14,5 |
| Model ID | iPad14,5 |
| Motherboard | J620AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.48 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 | 7.33 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4904
525.5 IPS |
|
|
Image Classification (F16)
|
100% |
7079
758.4 IPS |
|
|
Image Classification (I8)
|
81% |
734
78.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
11263
69.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
16323
100.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
1343
8.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
3831
15.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
9297
37.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
254
1.03 IPS |
|
|
Object Detection (F32)
|
100% |
5239
183.9 IPS |
|
|
Object Detection (F16)
|
100% |
6873
241.2 IPS |
|
|
Object Detection (I8)
|
52% |
1049
36.8 IPS |
|
|
Face Detection (F32)
|
100% |
9438
108.4 IPS |
|
|
Face Detection (F16)
|
97% |
15932
183.0 IPS |
|
|
Face Detection (I8)
|
75% |
1032
11.9 IPS |
|
|
Text Classification (F32)
|
100% |
3682
1.46 KIPS |
|
|
Text Classification (F16)
|
100% |
4046
1.60 KIPS |
|
|
Machine Translation (F32)
|
100% |
1932
297.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1939
298.9 IPS |
