iPhone 12
Geekbench ML Score
1530
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 24 2024 12:18 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
743
139.0 IPS |
|
|
Image Classification (F16)
|
100% |
782
146.3 IPS |
|
|
Image Classification (I8)
|
99% |
779
145.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
366
6.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
354
5.91 IPS |
|
|
Image Segmentation (I8)
|
100% |
345
5.76 IPS |
|
|
Pose Estimation (F32)
|
100% |
4442
5.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
8513
10.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
8530
10.3 IPS |
|
|
Object Detection (F32)
|
100% |
823
61.4 IPS |
|
|
Object Detection (F16)
|
100% |
889
66.3 IPS |
|
|
Object Detection (I8)
|
97% |
824
61.5 IPS |
|
|
Face Detection (F32)
|
100% |
1405
16.7 IPS |
|
|
Face Detection (F16)
|
100% |
1353
16.1 IPS |
|
|
Face Detection (I8)
|
99% |
1358
16.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
3029
23.5 IPS |
|
|
Depth Estimation (F16)
|
99% |
3363
26.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
3402
26.4 IPS |
|
|
Style Transfer (F32)
|
100% |
9101
12.0 IPS |
|
|
Style Transfer (F16)
|
100% |
10757
14.2 IPS |
|
|
Style Transfer (I8)
|
100% |
10791
14.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2376
84.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2332
83.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2316
82.7 IPS |
|
|
Text Classification (F32)
|
100% |
811
1.17 KIPS |
|
|
Text Classification (F16)
|
100% |
518
743.8 IPS |
|
|
Text Classification (I8)
|
96% |
531
763.1 IPS |
|
|
Machine Translation (F32)
|
100% |
664
12.2 IPS |
|
|
Machine Translation (F16)
|
99% |
784
14.4 IPS |
|
|
Machine Translation (I8)
|
99% |
634
11.7 IPS |
