iPhone16,2
Geekbench ML Score
1351
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 02 2023 10:12 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0.2 |
| Model | iPhone16,2 |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| 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 | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1053
112.9 IPS |
|
|
Image Classification (F16)
|
100% |
1028
110.1 IPS |
|
|
Image Classification (I8)
|
81% |
567
60.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1391
8.59 IPS |
|
|
Image Segmentation (F16)
|
100% |
1360
8.40 IPS |
|
|
Image Segmentation (I8)
|
89% |
1627
10.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
491
1.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
487
1.97 IPS |
|
|
Pose Estimation (I8)
|
80% |
643
2.60 IPS |
|
|
Object Detection (F32)
|
100% |
1416
49.7 IPS |
|
|
Object Detection (F16)
|
100% |
1441
50.6 IPS |
|
|
Object Detection (I8)
|
52% |
870
30.5 IPS |
|
|
Face Detection (F32)
|
100% |
1845
21.2 IPS |
|
|
Face Detection (F16)
|
100% |
1789
20.6 IPS |
|
|
Face Detection (I8)
|
75% |
1008
11.6 IPS |
|
|
Text Classification (F32)
|
100% |
4648
1.84 KIPS |
|
|
Text Classification (F16)
|
100% |
4709
1.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
2850
439.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2845
438.4 IPS |
