iPad13,8
Geekbench ML Score
2850
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 12 2021 07:06 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| Model | iPad13,8 |
| Model ID | iPad13,8 |
| Motherboard | J522AP |
| 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% |
4102
439.5 IPS |
|
|
Image Classification (F16)
|
100% |
5848
626.5 IPS |
|
|
Image Classification (I8)
|
81% |
693
74.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
8058
49.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
11819
73.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
1269
7.84 IPS |
|
|
Pose Estimation (F32)
|
100% |
2868
11.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
6837
27.7 IPS |
|
|
Pose Estimation (I8)
|
80% |
240
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
3584
125.8 IPS |
|
|
Object Detection (F16)
|
100% |
3428
120.3 IPS |
|
|
Object Detection (I8)
|
52% |
983
34.5 IPS |
|
|
Face Detection (F32)
|
100% |
7043
80.9 IPS |
|
|
Face Detection (F16)
|
97% |
12649
145.3 IPS |
|
|
Face Detection (I8)
|
75% |
963
11.1 IPS |
|
|
Text Classification (F32)
|
100% |
3421
1.35 KIPS |
|
|
Text Classification (F16)
|
100% |
3890
1.54 KIPS |
|
|
Machine Translation (F32)
|
100% |
1844
284.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1834
282.7 IPS |
