iPhone 12
Geekbench ML Score
1297
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 10 2024 10:40 PM |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
320
59.8 IPS |
|
|
Image Classification (F16)
|
100% |
320
59.8 IPS |
|
|
Image Classification (I8)
|
99% |
285
53.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
531
8.88 IPS |
|
|
Image Segmentation (F16)
|
100% |
565
9.44 IPS |
|
|
Image Segmentation (I8)
|
100% |
577
9.64 IPS |
|
|
Pose Estimation (F32)
|
100% |
5871
7.11 IPS |
|
|
Pose Estimation (F16)
|
100% |
6135
7.43 IPS |
|
|
Pose Estimation (I8)
|
100% |
6007
7.27 IPS |
|
|
Object Detection (F32)
|
100% |
572
42.7 IPS |
|
|
Object Detection (F16)
|
100% |
552
41.2 IPS |
|
|
Object Detection (I8)
|
97% |
581
43.4 IPS |
|
|
Face Detection (F32)
|
100% |
2895
34.4 IPS |
|
|
Face Detection (F16)
|
97% |
2987
35.5 IPS |
|
|
Face Detection (I8)
|
96% |
2979
35.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5300
41.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
5569
43.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
5309
41.2 IPS |
|
|
Style Transfer (F32)
|
100% |
11752
15.5 IPS |
|
|
Style Transfer (F16)
|
100% |
11905
15.7 IPS |
|
|
Style Transfer (I8)
|
100% |
12474
16.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1454
51.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1462
52.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1662
59.4 IPS |
|
|
Text Classification (F32)
|
100% |
276
397.1 IPS |
|
|
Text Classification (F16)
|
100% |
278
400.0 IPS |
|
|
Text Classification (I8)
|
96% |
164
236.3 IPS |
|
|
Machine Translation (F32)
|
100% |
344
6.33 IPS |
|
|
Machine Translation (F16)
|
100% |
351
6.46 IPS |
|
|
Machine Translation (I8)
|
99% |
326
6.01 IPS |
