iPhone 13 Pro Max
Geekbench ML Score
3326
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 03:30 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% |
1310
245.1 IPS |
|
|
Image Classification (F16)
|
100% |
2336
437.2 IPS |
|
|
Image Classification (I8)
|
99% |
2340
437.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
824
13.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1107
18.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1105
18.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
5826
7.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
10195
12.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
11342
13.7 IPS |
|
|
Object Detection (F32)
|
100% |
1275
95.2 IPS |
|
|
Object Detection (F16)
|
100% |
2266
169.2 IPS |
|
|
Object Detection (I8)
|
97% |
894
66.8 IPS |
|
|
Face Detection (F32)
|
100% |
2480
29.5 IPS |
|
|
Face Detection (F16)
|
97% |
5055
60.1 IPS |
|
|
Face Detection (I8)
|
97% |
4145
49.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5082
39.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8332
64.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
10664
82.7 IPS |
|
|
Style Transfer (F32)
|
100% |
11198
14.7 IPS |
|
|
Style Transfer (F16)
|
100% |
26210
34.5 IPS |
|
|
Style Transfer (I8)
|
100% |
25719
33.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4087
146.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4986
178.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5002
178.6 IPS |
|
|
Text Classification (F32)
|
100% |
2189
3.15 KIPS |
|
|
Text Classification (F16)
|
100% |
3735
5.37 KIPS |
|
|
Text Classification (I8)
|
96% |
3322
4.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
971
17.9 IPS |
|
|
Machine Translation (F16)
|
100% |
922
17.0 IPS |
|
|
Machine Translation (I8)
|
99% |
829
15.3 IPS |
