iPhone15,2
Geekbench ML Score
2499
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | gkoblavi |
| Upload Date | September 27 2022 12:55 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0.1 |
| 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 | 5.51 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2933
314.3 IPS |
|
|
Image Classification (F16)
|
100% |
4576
490.3 IPS |
|
|
Image Classification (I8)
|
81% |
745
79.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
6561
40.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
9207
56.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
1367
8.44 IPS |
|
|
Pose Estimation (F32)
|
100% |
2411
9.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
5149
20.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
258
1.05 IPS |
|
|
Object Detection (F32)
|
100% |
3340
117.2 IPS |
|
|
Object Detection (F16)
|
100% |
3371
118.3 IPS |
|
|
Object Detection (I8)
|
52% |
1063
37.3 IPS |
|
|
Face Detection (F32)
|
100% |
5993
68.9 IPS |
|
|
Face Detection (F16)
|
97% |
10015
115.1 IPS |
|
|
Face Detection (I8)
|
75% |
1047
12.0 IPS |
|
|
Text Classification (F32)
|
100% |
1956
773.5 IPS |
|
|
Text Classification (F16)
|
100% |
1867
738.4 IPS |
|
|
Machine Translation (F32)
|
100% |
2231
343.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2237
344.8 IPS |
