iPhone 13 Pro Max
Geekbench ML Score
1735
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 03:24 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 13 Pro Max |
| Model ID | iPhone14,3 |
| Motherboard | D64AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 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 | 5.51 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
592
110.7 IPS |
|
|
Image Classification (F16)
|
100% |
1041
194.8 IPS |
|
|
Image Classification (I8)
|
99% |
1041
194.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
492
8.22 IPS |
|
|
Image Segmentation (F16)
|
100% |
582
9.72 IPS |
|
|
Image Segmentation (I8)
|
100% |
575
9.61 IPS |
|
|
Pose Estimation (F32)
|
100% |
2858
3.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
6129
7.42 IPS |
|
|
Pose Estimation (I8)
|
100% |
6115
7.41 IPS |
|
|
Object Detection (F32)
|
100% |
600
44.8 IPS |
|
|
Object Detection (F16)
|
100% |
1015
75.8 IPS |
|
|
Object Detection (I8)
|
97% |
601
44.9 IPS |
|
|
Face Detection (F32)
|
100% |
1518
18.1 IPS |
|
|
Face Detection (F16)
|
97% |
2527
30.1 IPS |
|
|
Face Detection (I8)
|
97% |
2514
29.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
2551
19.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
5067
39.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
5097
39.5 IPS |
|
|
Style Transfer (F32)
|
100% |
7888
10.4 IPS |
|
|
Style Transfer (F16)
|
100% |
11994
15.8 IPS |
|
|
Style Transfer (I8)
|
100% |
11795
15.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1436
51.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2195
78.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2242
80.1 IPS |
|
|
Text Classification (F32)
|
100% |
1055
1.52 KIPS |
|
|
Text Classification (F16)
|
100% |
1806
2.60 KIPS |
|
|
Text Classification (I8)
|
96% |
1808
2.60 KIPS |
|
|
Machine Translation (F32)
|
100% |
570
10.5 IPS |
|
|
Machine Translation (F16)
|
100% |
659
12.1 IPS |
|
|
Machine Translation (I8)
|
99% |
569
10.5 IPS |
