iPhone15,2
Geekbench ML Score
1144
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 01 2023 07:08 AM |
| Views | 31 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0 |
| Model | iPhone15,2 |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.43 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 | 5.52 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
902
96.6 IPS |
|
|
Image Classification (F16)
|
100% |
870
93.3 IPS |
|
|
Image Classification (I8)
|
81% |
488
52.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1263
7.80 IPS |
|
|
Image Segmentation (F16)
|
100% |
1220
7.53 IPS |
|
|
Image Segmentation (I8)
|
89% |
1479
9.13 IPS |
|
|
Pose Estimation (F32)
|
100% |
467
1.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
459
1.86 IPS |
|
|
Pose Estimation (I8)
|
80% |
518
2.10 IPS |
|
|
Object Detection (F32)
|
100% |
1242
43.6 IPS |
|
|
Object Detection (F16)
|
100% |
1271
44.6 IPS |
|
|
Object Detection (I8)
|
52% |
762
26.7 IPS |
|
|
Face Detection (F32)
|
100% |
1574
18.1 IPS |
|
|
Face Detection (F16)
|
100% |
1542
17.7 IPS |
|
|
Face Detection (I8)
|
75% |
859
9.87 IPS |
|
|
Text Classification (F32)
|
100% |
3066
1.21 KIPS |
|
|
Text Classification (F16)
|
100% |
3137
1.24 KIPS |
|
|
Machine Translation (F32)
|
100% |
2343
361.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2369
365.2 IPS |
