iPhone 12
Geekbench ML Score
1301
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | bigonuts |
| Upload Date | May 21 2024 03:42 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| 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 | 3.56 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
328
61.3 IPS |
|
|
Image Classification (F16)
|
100% |
316
59.1 IPS |
|
|
Image Classification (I8)
|
99% |
292
54.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
576
9.62 IPS |
|
|
Image Segmentation (F16)
|
100% |
552
9.21 IPS |
|
|
Image Segmentation (I8)
|
100% |
595
9.93 IPS |
|
|
Pose Estimation (F32)
|
100% |
5669
6.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
6080
7.36 IPS |
|
|
Pose Estimation (I8)
|
100% |
5990
7.25 IPS |
|
|
Object Detection (F32)
|
100% |
513
38.3 IPS |
|
|
Object Detection (F16)
|
100% |
492
36.8 IPS |
|
|
Object Detection (I8)
|
97% |
572
42.7 IPS |
|
|
Face Detection (F32)
|
100% |
1919
22.8 IPS |
|
|
Face Detection (F16)
|
98% |
3104
36.9 IPS |
|
|
Face Detection (I8)
|
97% |
3116
37.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5388
41.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
5704
44.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
5425
42.1 IPS |
|
|
Style Transfer (F32)
|
100% |
11309
14.9 IPS |
|
|
Style Transfer (F16)
|
100% |
13330
17.5 IPS |
|
|
Style Transfer (I8)
|
100% |
13631
17.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1898
67.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1695
60.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1925
68.7 IPS |
|
|
Text Classification (F32)
|
100% |
250
359.2 IPS |
|
|
Text Classification (F16)
|
100% |
251
361.3 IPS |
|
|
Text Classification (I8)
|
96% |
164
236.2 IPS |
|
|
Machine Translation (F32)
|
100% |
336
6.19 IPS |
|
|
Machine Translation (F16)
|
100% |
347
6.39 IPS |
|
|
Machine Translation (I8)
|
99% |
333
6.13 IPS |
