iPhone 13 Pro Max
Geekbench ML Score
3249
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | March 28 2024 05:30 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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 | 5.47 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1377
257.8 IPS |
|
|
Image Classification (F16)
|
100% |
1752
327.9 IPS |
|
|
Image Classification (I8)
|
99% |
1734
324.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
747
12.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
748
12.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
742
12.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5420
6.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
13218
16.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
13385
16.2 IPS |
|
|
Object Detection (F32)
|
100% |
1349
100.7 IPS |
|
|
Object Detection (F16)
|
100% |
1849
138.0 IPS |
|
|
Object Detection (I8)
|
97% |
1364
101.8 IPS |
|
|
Face Detection (F32)
|
100% |
2303
27.4 IPS |
|
|
Face Detection (F16)
|
97% |
3877
46.1 IPS |
|
|
Face Detection (I8)
|
97% |
3861
45.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
4896
38.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
7970
61.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
8001
62.0 IPS |
|
|
Style Transfer (F32)
|
100% |
16246
21.4 IPS |
|
|
Style Transfer (F16)
|
100% |
25390
33.4 IPS |
|
|
Style Transfer (I8)
|
100% |
25178
33.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3792
135.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5058
180.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5070
181.1 IPS |
|
|
Text Classification (F32)
|
100% |
2185
3.14 KIPS |
|
|
Text Classification (F16)
|
100% |
3218
4.63 KIPS |
|
|
Text Classification (I8)
|
96% |
3220
4.63 KIPS |
|
|
Machine Translation (F32)
|
100% |
1106
20.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1311
24.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1120
20.6 IPS |
