iPhone 12
Geekbench ML Score
3142
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 20 2025 03:50 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 3.60 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1214
227.2 IPS |
|
|
Image Classification (F16)
|
100% |
2000
374.3 IPS |
|
|
Image Classification (I8)
|
99% |
1988
372.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
536
8.94 IPS |
|
|
Image Segmentation (F16)
|
100% |
639
10.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
667
11.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5277
6.39 IPS |
|
|
Pose Estimation (F16)
|
100% |
11970
14.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
12064
14.6 IPS |
|
|
Object Detection (F32)
|
100% |
1157
86.4 IPS |
|
|
Object Detection (F16)
|
100% |
1929
144.0 IPS |
|
|
Object Detection (I8)
|
97% |
1163
86.8 IPS |
|
|
Face Detection (F32)
|
100% |
2495
29.7 IPS |
|
|
Face Detection (F16)
|
97% |
4624
55.0 IPS |
|
|
Face Detection (I8)
|
96% |
4596
54.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
4899
38.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
9291
72.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
9359
72.6 IPS |
|
|
Style Transfer (F32)
|
100% |
14008
18.4 IPS |
|
|
Style Transfer (F16)
|
100% |
23509
30.9 IPS |
|
|
Style Transfer (I8)
|
100% |
23450
30.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3241
115.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4330
154.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4432
158.3 IPS |
|
|
Text Classification (F32)
|
100% |
2087
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3509
5.04 KIPS |
|
|
Text Classification (I8)
|
96% |
3485
5.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
1034
19.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1308
24.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1015
18.7 IPS |
