iPhone 12 Pro Max
Geekbench ML Score
2636
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 09:22 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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 |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| 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 | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1137
212.7 IPS |
|
|
Image Classification (F16)
|
100% |
1461
273.3 IPS |
|
|
Image Classification (I8)
|
99% |
1454
272.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
519
8.67 IPS |
|
|
Image Segmentation (F16)
|
100% |
527
8.81 IPS |
|
|
Image Segmentation (I8)
|
100% |
493
8.24 IPS |
|
|
Pose Estimation (F32)
|
100% |
5083
6.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
11204
13.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
11157
13.5 IPS |
|
|
Object Detection (F32)
|
100% |
1116
83.3 IPS |
|
|
Object Detection (F16)
|
100% |
1523
113.7 IPS |
|
|
Object Detection (I8)
|
97% |
1116
83.3 IPS |
|
|
Face Detection (F32)
|
100% |
1938
23.0 IPS |
|
|
Face Detection (F16)
|
97% |
3546
42.2 IPS |
|
|
Face Detection (I8)
|
97% |
3536
42.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
4529
35.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
7098
55.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
7107
55.1 IPS |
|
|
Style Transfer (F32)
|
100% |
13479
17.7 IPS |
|
|
Style Transfer (F16)
|
100% |
21638
28.5 IPS |
|
|
Style Transfer (I8)
|
100% |
21607
28.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3109
111.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4119
147.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4182
149.4 IPS |
|
|
Text Classification (F32)
|
100% |
1927
2.77 KIPS |
|
|
Text Classification (F16)
|
100% |
3072
4.42 KIPS |
|
|
Text Classification (I8)
|
96% |
3048
4.38 KIPS |
|
|
Machine Translation (F32)
|
100% |
644
11.8 IPS |
|
|
Machine Translation (F16)
|
100% |
776
14.3 IPS |
|
|
Machine Translation (I8)
|
99% |
645
11.9 IPS |
