iPhone 13 Pro Max
Geekbench ML Score
3729
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 03:28 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% |
1317
246.5 IPS |
|
|
Image Classification (F16)
|
100% |
2335
437.0 IPS |
|
|
Image Classification (I8)
|
99% |
2335
437.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
829
13.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1088
18.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1107
18.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6119
7.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
13841
16.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
13856
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1353
101.0 IPS |
|
|
Object Detection (F16)
|
100% |
2293
171.2 IPS |
|
|
Object Detection (I8)
|
97% |
1349
100.7 IPS |
|
|
Face Detection (F32)
|
100% |
2579
30.7 IPS |
|
|
Face Detection (F16)
|
97% |
5437
64.7 IPS |
|
|
Face Detection (I8)
|
97% |
5428
64.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5310
41.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
11174
86.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
11091
86.0 IPS |
|
|
Style Transfer (F32)
|
100% |
17479
23.0 IPS |
|
|
Style Transfer (F16)
|
100% |
26837
35.3 IPS |
|
|
Style Transfer (I8)
|
100% |
26826
35.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4217
150.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4999
178.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5018
179.2 IPS |
|
|
Text Classification (F32)
|
100% |
2203
3.17 KIPS |
|
|
Text Classification (F16)
|
100% |
3722
5.35 KIPS |
|
|
Text Classification (I8)
|
96% |
3729
5.36 KIPS |
|
|
Machine Translation (F32)
|
100% |
1203
22.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1401
25.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1169
21.5 IPS |
