iPhone15,3
Geekbench ML Score
1152
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 09 2023 01:53 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0 |
| Model | iPhone15,3 |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| 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 | 5.49 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
888
95.2 IPS |
|
|
Image Classification (F16)
|
100% |
866
92.7 IPS |
|
|
Image Classification (I8)
|
81% |
468
50.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1309
8.08 IPS |
|
|
Image Segmentation (F16)
|
100% |
1247
7.70 IPS |
|
|
Image Segmentation (I8)
|
89% |
1484
9.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
473
1.91 IPS |
|
|
Pose Estimation (F16)
|
100% |
465
1.88 IPS |
|
|
Pose Estimation (I8)
|
80% |
527
2.13 IPS |
|
|
Object Detection (F32)
|
100% |
1243
43.6 IPS |
|
|
Object Detection (F16)
|
100% |
1269
44.5 IPS |
|
|
Object Detection (I8)
|
52% |
766
26.9 IPS |
|
|
Face Detection (F32)
|
100% |
1585
18.2 IPS |
|
|
Face Detection (F16)
|
100% |
1572
18.1 IPS |
|
|
Face Detection (I8)
|
75% |
856
9.83 IPS |
|
|
Text Classification (F32)
|
100% |
3238
1.28 KIPS |
|
|
Text Classification (F16)
|
100% |
3232
1.28 KIPS |
|
|
Machine Translation (F32)
|
100% |
2340
360.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2330
359.1 IPS |
