iPhone 12 Pro Max
Geekbench ML Score
915
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 03 2023 12:39 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0.2 |
| Model | iPhone 12 Pro Max |
| Model ID | iPhone13,4 |
| Motherboard | D54pAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 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 | 5.53 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
708
75.9 IPS |
|
|
Image Classification (F16)
|
100% |
683
73.2 IPS |
|
|
Image Classification (I8)
|
81% |
410
44.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1003
6.19 IPS |
|
|
Image Segmentation (F16)
|
100% |
975
6.02 IPS |
|
|
Image Segmentation (I8)
|
89% |
1380
8.52 IPS |
|
|
Pose Estimation (F32)
|
100% |
360
1.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
360
1.46 IPS |
|
|
Pose Estimation (I8)
|
80% |
422
1.71 IPS |
|
|
Object Detection (F32)
|
100% |
913
32.0 IPS |
|
|
Object Detection (F16)
|
100% |
931
32.7 IPS |
|
|
Object Detection (I8)
|
52% |
695
24.4 IPS |
|
|
Face Detection (F32)
|
100% |
1115
12.8 IPS |
|
|
Face Detection (F16)
|
100% |
1100
12.6 IPS |
|
|
Face Detection (I8)
|
75% |
816
9.38 IPS |
|
|
Text Classification (F32)
|
100% |
2769
1.10 KIPS |
|
|
Text Classification (F16)
|
100% |
2693
1.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
1696
261.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1704
262.6 IPS |
