iPhone16,1
Geekbench ML Score
1399
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 13 2023 06:07 PM |
| Views | 27 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0 |
| 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% |
1065
114.1 IPS |
|
|
Image Classification (F16)
|
100% |
1048
112.3 IPS |
|
|
Image Classification (I8)
|
81% |
673
72.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1424
8.80 IPS |
|
|
Image Segmentation (F16)
|
100% |
1386
8.56 IPS |
|
|
Image Segmentation (I8)
|
89% |
1671
10.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
503
2.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
496
2.01 IPS |
|
|
Pose Estimation (I8)
|
80% |
664
2.69 IPS |
|
|
Object Detection (F32)
|
100% |
1424
50.0 IPS |
|
|
Object Detection (F16)
|
100% |
1437
50.4 IPS |
|
|
Object Detection (I8)
|
52% |
919
32.2 IPS |
|
|
Face Detection (F32)
|
100% |
1862
21.4 IPS |
|
|
Face Detection (F16)
|
100% |
1827
21.0 IPS |
|
|
Face Detection (I8)
|
75% |
1049
12.1 IPS |
|
|
Text Classification (F32)
|
100% |
5320
2.10 KIPS |
|
|
Text Classification (F16)
|
100% |
5017
1.98 KIPS |
|
|
Machine Translation (F32)
|
100% |
2833
436.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2839
437.5 IPS |
