iPhone 12
Geekbench ML Score
1673
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | precisionxt |
| Upload Date | November 05 2025 05:54 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.5 |
| 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 | 3.58 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
775
145.0 IPS |
|
|
Image Classification (F16)
|
100% |
770
144.2 IPS |
|
|
Image Classification (I8)
|
99% |
768
143.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
554
9.25 IPS |
|
|
Image Segmentation (F16)
|
100% |
516
8.62 IPS |
|
|
Image Segmentation (I8)
|
100% |
514
8.58 IPS |
|
|
Pose Estimation (F32)
|
100% |
5117
6.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
8363
10.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
8420
10.2 IPS |
|
|
Object Detection (F32)
|
100% |
830
62.0 IPS |
|
|
Object Detection (F16)
|
100% |
897
66.9 IPS |
|
|
Object Detection (I8)
|
97% |
831
62.0 IPS |
|
|
Face Detection (F32)
|
100% |
1487
17.7 IPS |
|
|
Face Detection (F16)
|
100% |
1382
16.4 IPS |
|
|
Face Detection (I8)
|
99% |
1381
16.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2961
23.0 IPS |
|
|
Depth Estimation (F16)
|
99% |
3274
25.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
3210
24.9 IPS |
|
|
Style Transfer (F32)
|
100% |
8972
11.8 IPS |
|
|
Style Transfer (F16)
|
100% |
10522
13.8 IPS |
|
|
Style Transfer (I8)
|
100% |
10533
13.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2085
74.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2265
80.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2270
81.1 IPS |
|
|
Text Classification (F32)
|
100% |
847
1.22 KIPS |
|
|
Text Classification (F16)
|
100% |
409
588.4 IPS |
|
|
Text Classification (I8)
|
96% |
549
789.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1128
20.7 IPS |
|
|
Machine Translation (F16)
|
99% |
1519
28.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1118
20.6 IPS |
