iPhone15,2
Geekbench ML Score
1127
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 05 2023 12:38 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1 |
| Model | iPhone15,2 |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| 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 | 5.52 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
895
95.8 IPS |
|
|
Image Classification (F16)
|
100% |
868
93.0 IPS |
|
|
Image Classification (I8)
|
81% |
456
48.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1241
7.67 IPS |
|
|
Image Segmentation (F16)
|
100% |
1220
7.54 IPS |
|
|
Image Segmentation (I8)
|
89% |
1478
9.13 IPS |
|
|
Pose Estimation (F32)
|
100% |
455
1.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
450
1.82 IPS |
|
|
Pose Estimation (I8)
|
80% |
513
2.08 IPS |
|
|
Object Detection (F32)
|
100% |
1233
43.3 IPS |
|
|
Object Detection (F16)
|
100% |
1257
44.1 IPS |
|
|
Object Detection (I8)
|
52% |
746
26.2 IPS |
|
|
Face Detection (F32)
|
100% |
1560
17.9 IPS |
|
|
Face Detection (F16)
|
100% |
1504
17.3 IPS |
|
|
Face Detection (I8)
|
75% |
856
9.84 IPS |
|
|
Text Classification (F32)
|
100% |
3042
1.20 KIPS |
|
|
Text Classification (F16)
|
100% |
3029
1.20 KIPS |
|
|
Machine Translation (F32)
|
100% |
2332
359.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2356
363.1 IPS |
