iPhone 14 Pro Max
Geekbench ML Score
3317
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 03:19 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPhone 14 Pro Max |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 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 | 5.48 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1437
269.0 IPS |
|
|
Image Classification (F16)
|
100% |
1845
345.3 IPS |
|
|
Image Classification (I8)
|
99% |
1869
349.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
737
12.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
754
12.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
769
12.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
5971
7.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
12107
14.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
13642
16.5 IPS |
|
|
Object Detection (F32)
|
100% |
1306
97.5 IPS |
|
|
Object Detection (F16)
|
100% |
1692
126.3 IPS |
|
|
Object Detection (I8)
|
97% |
1443
107.7 IPS |
|
|
Face Detection (F32)
|
100% |
2654
31.6 IPS |
|
|
Face Detection (F16)
|
97% |
4241
50.4 IPS |
|
|
Face Detection (I8)
|
97% |
4296
51.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
4828
37.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
7114
55.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
8604
66.7 IPS |
|
|
Style Transfer (F32)
|
100% |
16332
21.5 IPS |
|
|
Style Transfer (F16)
|
100% |
20267
26.7 IPS |
|
|
Style Transfer (I8)
|
100% |
25674
33.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3983
142.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4971
177.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5015
179.1 IPS |
|
|
Text Classification (F32)
|
100% |
1937
2.78 KIPS |
|
|
Text Classification (F16)
|
100% |
3898
5.60 KIPS |
|
|
Text Classification (I8)
|
96% |
3890
5.59 KIPS |
|
|
Machine Translation (F32)
|
100% |
1167
21.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1417
26.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1077
19.8 IPS |
