iPhone 12 Pro Max
Geekbench ML Score
924
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 14 2023 03:23 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0 |
| 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% |
688
73.8 IPS |
|
|
Image Classification (F16)
|
100% |
661
70.8 IPS |
|
|
Image Classification (I8)
|
81% |
413
44.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1017
6.28 IPS |
|
|
Image Segmentation (F16)
|
100% |
987
6.09 IPS |
|
|
Image Segmentation (I8)
|
89% |
1375
8.49 IPS |
|
|
Pose Estimation (F32)
|
100% |
367
1.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
366
1.48 IPS |
|
|
Pose Estimation (I8)
|
80% |
437
1.77 IPS |
|
|
Object Detection (F32)
|
100% |
962
33.8 IPS |
|
|
Object Detection (F16)
|
100% |
959
33.7 IPS |
|
|
Object Detection (I8)
|
52% |
707
24.8 IPS |
|
|
Face Detection (F32)
|
100% |
1135
13.0 IPS |
|
|
Face Detection (F16)
|
100% |
1109
12.7 IPS |
|
|
Face Detection (I8)
|
75% |
816
9.38 IPS |
|
|
Text Classification (F32)
|
100% |
2762
1.09 KIPS |
|
|
Text Classification (F16)
|
100% |
2767
1.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
1702
262.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1703
262.5 IPS |
