iPhone16,1
Geekbench ML Score
1325
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 29 2023 01:43 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0.2 |
| Model | iPhone16,1 |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 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 | 7.50 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1032
110.6 IPS |
|
|
Image Classification (F16)
|
100% |
1002
107.3 IPS |
|
|
Image Classification (I8)
|
81% |
644
69.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1359
8.40 IPS |
|
|
Image Segmentation (F16)
|
100% |
1323
8.17 IPS |
|
|
Image Segmentation (I8)
|
89% |
1655
10.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
489
1.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
480
1.94 IPS |
|
|
Pose Estimation (I8)
|
80% |
640
2.59 IPS |
|
|
Object Detection (F32)
|
100% |
1371
48.1 IPS |
|
|
Object Detection (F16)
|
100% |
1385
48.6 IPS |
|
|
Object Detection (I8)
|
52% |
963
33.8 IPS |
|
|
Face Detection (F32)
|
100% |
1774
20.4 IPS |
|
|
Face Detection (F16)
|
100% |
1755
20.2 IPS |
|
|
Face Detection (I8)
|
75% |
1050
12.1 IPS |
|
|
Text Classification (F32)
|
100% |
4650
1.84 KIPS |
|
|
Text Classification (F16)
|
100% |
3174
1.26 KIPS |
|
|
Machine Translation (F32)
|
100% |
2849
439.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2831
436.2 IPS |
