iPhone15,3
Geekbench ML Score
1150
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 03 2023 05:18 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0.2 |
| 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 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
884
94.8 IPS |
|
|
Image Classification (F16)
|
100% |
862
92.3 IPS |
|
|
Image Classification (I8)
|
81% |
469
50.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1271
7.85 IPS |
|
|
Image Segmentation (F16)
|
100% |
1238
7.65 IPS |
|
|
Image Segmentation (I8)
|
89% |
1481
9.15 IPS |
|
|
Pose Estimation (F32)
|
100% |
467
1.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
465
1.88 IPS |
|
|
Pose Estimation (I8)
|
80% |
524
2.12 IPS |
|
|
Object Detection (F32)
|
100% |
1296
45.5 IPS |
|
|
Object Detection (F16)
|
100% |
1305
45.8 IPS |
|
|
Object Detection (I8)
|
52% |
766
26.9 IPS |
|
|
Face Detection (F32)
|
100% |
1590
18.3 IPS |
|
|
Face Detection (F16)
|
100% |
1542
17.7 IPS |
|
|
Face Detection (I8)
|
75% |
860
9.88 IPS |
|
|
Text Classification (F32)
|
100% |
3162
1.25 KIPS |
|
|
Text Classification (F16)
|
100% |
3124
1.24 KIPS |
|
|
Machine Translation (F32)
|
100% |
2347
361.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2388
368.1 IPS |
