iPhone15,2
Geekbench ML Score
1014
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 16 2023 11:19 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.4.1 |
| Model | iPhone15,2 |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.44 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 | 5.51 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
853
91.4 IPS |
|
|
Image Classification (F16)
|
100% |
826
88.5 IPS |
|
|
Image Classification (I8)
|
81% |
472
50.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1278
7.89 IPS |
|
|
Image Segmentation (F16)
|
100% |
1275
7.88 IPS |
|
|
Image Segmentation (I8)
|
89% |
1498
9.25 IPS |
|
|
Pose Estimation (F32)
|
100% |
487
1.97 IPS |
|
|
Pose Estimation (F16)
|
100% |
481
1.94 IPS |
|
|
Pose Estimation (I8)
|
80% |
542
2.19 IPS |
|
|
Object Detection (F32)
|
100% |
1245
43.7 IPS |
|
|
Object Detection (F16)
|
100% |
1245
43.7 IPS |
|
|
Object Detection (I8)
|
52% |
748
26.2 IPS |
|
|
Face Detection (F32)
|
100% |
1552
17.8 IPS |
|
|
Face Detection (F16)
|
100% |
1513
17.4 IPS |
|
|
Face Detection (I8)
|
75% |
854
9.81 IPS |
|
|
Text Classification (F32)
|
100% |
1002
396.1 IPS |
|
|
Text Classification (F16)
|
100% |
1078
426.4 IPS |
|
|
Machine Translation (F32)
|
100% |
2259
348.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2268
349.6 IPS |
