iPhone 12
Geekbench ML Score
1324
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 22 2023 12:20 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| Model | iPhone 12 |
| Model ID | iPhone13,2 |
| Motherboard | D53gAP |
| 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 | 3.58 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
343
64.2 IPS |
|
|
Image Classification (F16)
|
100% |
341
63.9 IPS |
|
|
Image Classification (I8)
|
99% |
312
58.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
546
9.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
573
9.58 IPS |
|
|
Image Segmentation (I8)
|
100% |
577
9.63 IPS |
|
|
Pose Estimation (F32)
|
100% |
5888
7.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
6255
7.57 IPS |
|
|
Pose Estimation (I8)
|
100% |
6162
7.46 IPS |
|
|
Object Detection (F32)
|
100% |
561
41.9 IPS |
|
|
Object Detection (F16)
|
100% |
517
38.6 IPS |
|
|
Object Detection (I8)
|
97% |
589
43.9 IPS |
|
|
Face Detection (F32)
|
100% |
2878
34.2 IPS |
|
|
Face Detection (F16)
|
97% |
2718
32.3 IPS |
|
|
Face Detection (I8)
|
96% |
2945
35.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5179
40.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
5640
43.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
5254
40.7 IPS |
|
|
Style Transfer (F32)
|
100% |
10531
13.9 IPS |
|
|
Style Transfer (F16)
|
100% |
11710
15.4 IPS |
|
|
Style Transfer (I8)
|
100% |
13600
17.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1763
63.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1765
63.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1787
63.8 IPS |
|
|
Text Classification (F32)
|
100% |
280
401.9 IPS |
|
|
Text Classification (F16)
|
100% |
281
403.5 IPS |
|
|
Text Classification (I8)
|
96% |
169
242.2 IPS |
|
|
Machine Translation (F32)
|
100% |
355
6.54 IPS |
|
|
Machine Translation (F16)
|
100% |
358
6.59 IPS |
|
|
Machine Translation (I8)
|
99% |
326
6.00 IPS |
