iPad14,4
Geekbench ML Score
3395
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 09 2023 02:11 AM |
| Views | 1 |
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% |
4822
516.6 IPS |
|
|
Image Classification (F16)
|
100% |
7089
759.6 IPS |
|
|
Image Classification (I8)
|
81% |
730
78.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
11029
68.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
16480
101.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
1335
8.24 IPS |
|
|
Pose Estimation (F32)
|
100% |
4218
17.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
9578
38.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
253
1.03 IPS |
|
|
Object Detection (F32)
|
100% |
4102
144.0 IPS |
|
|
Object Detection (F16)
|
100% |
5151
180.8 IPS |
|
|
Object Detection (I8)
|
52% |
1047
36.7 IPS |
|
|
Face Detection (F32)
|
100% |
9552
109.7 IPS |
|
|
Face Detection (F16)
|
97% |
16223
186.4 IPS |
|
|
Face Detection (I8)
|
75% |
1025
11.8 IPS |
|
|
Text Classification (F32)
|
100% |
3621
1.43 KIPS |
|
|
Text Classification (F16)
|
100% |
4056
1.60 KIPS |
|
|
Machine Translation (F32)
|
100% |
1957
301.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1960
302.1 IPS |
