iPhone15,2
Geekbench ML Score
1071
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 04 2023 08:55 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0.3 |
| Model | iPhone15,2 |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.45 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% |
907
97.1 IPS |
|
|
Image Classification (F16)
|
100% |
891
95.5 IPS |
|
|
Image Classification (I8)
|
81% |
301
32.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1263
7.80 IPS |
|
|
Image Segmentation (F16)
|
100% |
1223
7.56 IPS |
|
|
Image Segmentation (I8)
|
89% |
1392
8.60 IPS |
|
|
Pose Estimation (F32)
|
100% |
408
1.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
416
1.68 IPS |
|
|
Pose Estimation (I8)
|
80% |
506
2.05 IPS |
|
|
Object Detection (F32)
|
100% |
1286
45.1 IPS |
|
|
Object Detection (F16)
|
100% |
1299
45.6 IPS |
|
|
Object Detection (I8)
|
52% |
509
17.9 IPS |
|
|
Face Detection (F32)
|
100% |
1592
18.3 IPS |
|
|
Face Detection (F16)
|
100% |
1538
17.7 IPS |
|
|
Face Detection (I8)
|
75% |
847
9.74 IPS |
|
|
Text Classification (F32)
|
100% |
2734
1.08 KIPS |
|
|
Text Classification (F16)
|
100% |
3061
1.21 KIPS |
|
|
Machine Translation (F32)
|
100% |
2355
362.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2377
366.3 IPS |
