iPhone 12 Pro Max
Geekbench ML Score
2567
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 01 2024 08:05 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPhone 12 Pro Max |
| Model ID | iPhone13,4 |
| Motherboard | D54pAP |
| 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 | 5.52 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1145
214.3 IPS |
|
|
Image Classification (F16)
|
100% |
1456
272.4 IPS |
|
|
Image Classification (I8)
|
99% |
1463
273.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
489
8.17 IPS |
|
|
Image Segmentation (F16)
|
100% |
499
8.34 IPS |
|
|
Image Segmentation (I8)
|
100% |
492
8.22 IPS |
|
|
Pose Estimation (F32)
|
100% |
4584
5.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
10213
12.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
10225
12.4 IPS |
|
|
Object Detection (F32)
|
100% |
1117
83.4 IPS |
|
|
Object Detection (F16)
|
100% |
1526
113.9 IPS |
|
|
Object Detection (I8)
|
97% |
1117
83.4 IPS |
|
|
Face Detection (F32)
|
100% |
1915
22.8 IPS |
|
|
Face Detection (F16)
|
97% |
3375
40.1 IPS |
|
|
Face Detection (I8)
|
97% |
3388
40.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
4353
33.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
7055
54.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
7107
55.1 IPS |
|
|
Style Transfer (F32)
|
100% |
12600
16.6 IPS |
|
|
Style Transfer (F16)
|
100% |
20750
27.3 IPS |
|
|
Style Transfer (I8)
|
100% |
20855
27.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2894
103.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4114
146.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4164
148.7 IPS |
|
|
Text Classification (F32)
|
100% |
1939
2.79 KIPS |
|
|
Text Classification (F16)
|
100% |
2957
4.25 KIPS |
|
|
Text Classification (I8)
|
96% |
3062
4.40 KIPS |
|
|
Machine Translation (F32)
|
100% |
644
11.8 IPS |
|
|
Machine Translation (F16)
|
100% |
772
14.2 IPS |
|
|
Machine Translation (I8)
|
99% |
641
11.8 IPS |
