iPhone16,2
Geekbench ML Score
1297
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 04 2023 09:02 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 | 3.77 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 |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
948
101.6 IPS |
|
|
Image Classification (F16)
|
100% |
974
104.3 IPS |
|
|
Image Classification (I8)
|
81% |
502
53.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1354
8.36 IPS |
|
|
Image Segmentation (F16)
|
100% |
1322
8.17 IPS |
|
|
Image Segmentation (I8)
|
89% |
1571
9.70 IPS |
|
|
Pose Estimation (F32)
|
100% |
460
1.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
458
1.85 IPS |
|
|
Pose Estimation (I8)
|
80% |
614
2.49 IPS |
|
|
Object Detection (F32)
|
100% |
1364
47.9 IPS |
|
|
Object Detection (F16)
|
100% |
1355
47.6 IPS |
|
|
Object Detection (I8)
|
52% |
726
25.5 IPS |
|
|
Face Detection (F32)
|
100% |
1675
19.2 IPS |
|
|
Face Detection (F16)
|
100% |
1737
20.0 IPS |
|
|
Face Detection (I8)
|
75% |
1017
11.7 IPS |
|
|
Text Classification (F32)
|
100% |
5279
2.09 KIPS |
|
|
Text Classification (F16)
|
100% |
4858
1.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
2866
441.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2872
442.7 IPS |
