iPhone14,2
Geekbench ML Score
2312
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 23 2021 03:22 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.1 |
| Model | iPhone14,2 |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.24 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 | 5.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2856
306.0 IPS |
|
|
Image Classification (F16)
|
100% |
4450
476.8 IPS |
|
|
Image Classification (I8)
|
81% |
695
74.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
5978
36.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
8294
51.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
1221
7.54 IPS |
|
|
Pose Estimation (F32)
|
100% |
1918
7.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
4908
19.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
231
0.94 IPS |
|
|
Object Detection (F32)
|
100% |
3208
112.6 IPS |
|
|
Object Detection (F16)
|
100% |
3311
116.2 IPS |
|
|
Object Detection (I8)
|
52% |
969
34.0 IPS |
|
|
Face Detection (F32)
|
100% |
5215
59.9 IPS |
|
|
Face Detection (F16)
|
97% |
9287
106.7 IPS |
|
|
Face Detection (I8)
|
75% |
917
10.5 IPS |
|
|
Text Classification (F32)
|
100% |
1913
756.7 IPS |
|
|
Text Classification (F16)
|
100% |
2142
847.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1941
299.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1954
301.2 IPS |
