iPad13,18
Geekbench ML Score
2016
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 15 2023 10:31 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2 |
| Model | iPad13,18 |
| Model ID | iPad13,18 |
| Motherboard | J271AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 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 | 3.73 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2411
258.3 IPS |
|
|
Image Classification (F16)
|
100% |
4042
433.1 IPS |
|
|
Image Classification (I8)
|
81% |
641
68.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
4539
28.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
7458
46.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
1153
7.12 IPS |
|
|
Pose Estimation (F32)
|
100% |
1583
6.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
4591
18.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
216
0.87 IPS |
|
|
Object Detection (F32)
|
100% |
2912
102.2 IPS |
|
|
Object Detection (F16)
|
99% |
3265
114.6 IPS |
|
|
Object Detection (I8)
|
52% |
908
31.9 IPS |
|
|
Face Detection (F32)
|
100% |
3982
45.8 IPS |
|
|
Face Detection (F16)
|
97% |
7894
90.7 IPS |
|
|
Face Detection (I8)
|
75% |
877
10.1 IPS |
|
|
Text Classification (F32)
|
100% |
1579
624.3 IPS |
|
|
Text Classification (F16)
|
98% |
1591
629.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1631
251.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1638
252.5 IPS |
