iPhone15,2
Geekbench ML Score
1037
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 31 2023 03:43 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.5 |
| 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 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
867
92.9 IPS |
|
|
Image Classification (F16)
|
100% |
821
88.0 IPS |
|
|
Image Classification (I8)
|
81% |
472
50.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1284
7.93 IPS |
|
|
Image Segmentation (F16)
|
100% |
1249
7.72 IPS |
|
|
Image Segmentation (I8)
|
89% |
1492
9.22 IPS |
|
|
Pose Estimation (F32)
|
100% |
473
1.91 IPS |
|
|
Pose Estimation (F16)
|
100% |
468
1.89 IPS |
|
|
Pose Estimation (I8)
|
80% |
528
2.14 IPS |
|
|
Object Detection (F32)
|
100% |
1231
43.2 IPS |
|
|
Object Detection (F16)
|
100% |
1235
43.3 IPS |
|
|
Object Detection (I8)
|
52% |
767
26.9 IPS |
|
|
Face Detection (F32)
|
100% |
1509
17.3 IPS |
|
|
Face Detection (F16)
|
100% |
1491
17.1 IPS |
|
|
Face Detection (I8)
|
75% |
863
9.92 IPS |
|
|
Text Classification (F32)
|
100% |
1318
521.3 IPS |
|
|
Text Classification (F16)
|
100% |
1379
545.3 IPS |
|
|
Machine Translation (F32)
|
100% |
2275
350.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2276
350.8 IPS |
