iPhone15,5
Geekbench ML Score
1100
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 21 2024 09:37 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| Model | iPhone15,5 |
| Model ID | iPhone15,5 |
| Motherboard | D38AP |
| 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 | 5.50 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
924
99.0 IPS |
|
|
Image Classification (F16)
|
100% |
895
95.8 IPS |
|
|
Image Classification (I8)
|
81% |
329
35.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1246
7.69 IPS |
|
|
Image Segmentation (F16)
|
100% |
1222
7.55 IPS |
|
|
Image Segmentation (I8)
|
89% |
1400
8.65 IPS |
|
|
Pose Estimation (F32)
|
100% |
409
1.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
422
1.71 IPS |
|
|
Pose Estimation (I8)
|
80% |
497
2.01 IPS |
|
|
Object Detection (F32)
|
100% |
1176
41.3 IPS |
|
|
Object Detection (F16)
|
100% |
1205
42.3 IPS |
|
|
Object Detection (I8)
|
52% |
783
27.5 IPS |
|
|
Face Detection (F32)
|
100% |
1531
17.6 IPS |
|
|
Face Detection (F16)
|
100% |
1500
17.2 IPS |
|
|
Face Detection (I8)
|
75% |
864
9.93 IPS |
|
|
Text Classification (F32)
|
100% |
3216
1.27 KIPS |
|
|
Text Classification (F16)
|
100% |
3117
1.23 KIPS |
|
|
Machine Translation (F32)
|
100% |
2371
365.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2383
367.2 IPS |
