iPad14,4
Geekbench ML Score
3412
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 09 2023 02:10 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.47 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 | 7.34 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4803
514.6 IPS |
|
|
Image Classification (F16)
|
100% |
6933
742.8 IPS |
|
|
Image Classification (I8)
|
81% |
731
78.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
11232
69.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
16077
99.3 IPS |
|
|
Image Segmentation (I8)
|
89% |
1335
8.25 IPS |
|
|
Pose Estimation (F32)
|
100% |
4197
17.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
9631
39.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
253
1.02 IPS |
|
|
Object Detection (F32)
|
100% |
4334
152.1 IPS |
|
|
Object Detection (F16)
|
100% |
5284
185.4 IPS |
|
|
Object Detection (I8)
|
52% |
1049
36.8 IPS |
|
|
Face Detection (F32)
|
100% |
9619
110.5 IPS |
|
|
Face Detection (F16)
|
97% |
16249
186.7 IPS |
|
|
Face Detection (I8)
|
75% |
1032
11.9 IPS |
|
|
Text Classification (F32)
|
100% |
3663
1.45 KIPS |
|
|
Text Classification (F16)
|
100% |
4091
1.62 KIPS |
|
|
Machine Translation (F32)
|
100% |
1965
302.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1967
303.1 IPS |
