iPhone15,3
Geekbench ML Score
1131
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | June 10 2023 08:53 PM |
| Views | 4 |
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 | 3.45 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 | 5.47 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
920
98.5 IPS |
|
|
Image Classification (F16)
|
100% |
896
96.0 IPS |
|
|
Image Classification (I8)
|
81% |
437
46.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1282
7.92 IPS |
|
|
Image Segmentation (F16)
|
100% |
1262
7.80 IPS |
|
|
Image Segmentation (I8)
|
89% |
1459
9.01 IPS |
|
|
Pose Estimation (F32)
|
100% |
466
1.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
456
1.84 IPS |
|
|
Pose Estimation (I8)
|
80% |
528
2.14 IPS |
|
|
Object Detection (F32)
|
100% |
1286
45.1 IPS |
|
|
Object Detection (F16)
|
100% |
1299
45.6 IPS |
|
|
Object Detection (I8)
|
52% |
701
24.6 IPS |
|
|
Face Detection (F32)
|
100% |
1619
18.6 IPS |
|
|
Face Detection (F16)
|
100% |
1606
18.4 IPS |
|
|
Face Detection (I8)
|
75% |
847
9.73 IPS |
|
|
Text Classification (F32)
|
100% |
2593
1.03 KIPS |
|
|
Text Classification (F16)
|
100% |
2875
1.14 KIPS |
|
|
Machine Translation (F32)
|
100% |
2401
370.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2382
367.2 IPS |
