iPhone 12 Pro
Geekbench ML Score
1256
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 17 2024 08:52 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPhone 12 Pro |
| Model ID | iPhone13,3 |
| Motherboard | D53pAP |
| 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 | 5.54 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
514
96.1 IPS |
|
|
Image Classification (F16)
|
100% |
651
121.8 IPS |
|
|
Image Classification (I8)
|
99% |
657
123.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
327
5.46 IPS |
|
|
Image Segmentation (F16)
|
100% |
304
5.08 IPS |
|
|
Image Segmentation (I8)
|
100% |
299
4.99 IPS |
|
|
Pose Estimation (F32)
|
100% |
2339
2.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
5414
6.56 IPS |
|
|
Pose Estimation (I8)
|
100% |
5453
6.60 IPS |
|
|
Object Detection (F32)
|
100% |
522
39.0 IPS |
|
|
Object Detection (F16)
|
100% |
664
49.6 IPS |
|
|
Object Detection (I8)
|
97% |
499
37.3 IPS |
|
|
Face Detection (F32)
|
100% |
1143
13.6 IPS |
|
|
Face Detection (F16)
|
97% |
1634
19.4 IPS |
|
|
Face Detection (I8)
|
97% |
1642
19.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2024
15.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
3123
24.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
3222
25.0 IPS |
|
|
Style Transfer (F32)
|
100% |
6299
8.29 IPS |
|
|
Style Transfer (F16)
|
100% |
9903
13.0 IPS |
|
|
Style Transfer (I8)
|
100% |
9868
13.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1497
53.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1997
71.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2002
71.5 IPS |
|
|
Text Classification (F32)
|
100% |
942
1.35 KIPS |
|
|
Text Classification (F16)
|
100% |
1344
1.93 KIPS |
|
|
Text Classification (I8)
|
96% |
1343
1.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
300
5.52 IPS |
|
|
Machine Translation (F16)
|
100% |
348
6.41 IPS |
|
|
Machine Translation (I8)
|
99% |
299
5.49 IPS |
