iPhone 13 Pro Max
Geekbench ML Score
2009
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 08 2024 11:29 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| 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 | 5.49 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1176
220.2 IPS |
|
|
Image Classification (F16)
|
100% |
1037
194.0 IPS |
|
|
Image Classification (I8)
|
99% |
1034
193.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
514
8.59 IPS |
|
|
Image Segmentation (F16)
|
100% |
470
7.84 IPS |
|
|
Image Segmentation (I8)
|
100% |
471
7.86 IPS |
|
|
Pose Estimation (F32)
|
100% |
5675
6.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
11267
13.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
11208
13.6 IPS |
|
|
Object Detection (F32)
|
100% |
1168
87.2 IPS |
|
|
Object Detection (F16)
|
100% |
1172
87.5 IPS |
|
|
Object Detection (I8)
|
97% |
1167
87.1 IPS |
|
|
Face Detection (F32)
|
100% |
1915
22.8 IPS |
|
|
Face Detection (F16)
|
100% |
1733
20.6 IPS |
|
|
Face Detection (I8)
|
99% |
1707
20.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3771
29.2 IPS |
|
|
Depth Estimation (F16)
|
99% |
4132
32.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
4101
31.8 IPS |
|
|
Style Transfer (F32)
|
100% |
10741
14.1 IPS |
|
|
Style Transfer (F16)
|
100% |
12812
16.9 IPS |
|
|
Style Transfer (I8)
|
100% |
12752
16.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3300
117.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2723
97.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2747
98.1 IPS |
|
|
Text Classification (F32)
|
100% |
1192
1.71 KIPS |
|
|
Text Classification (F16)
|
100% |
776
1.12 KIPS |
|
|
Text Classification (I8)
|
96% |
780
1.12 KIPS |
|
|
Machine Translation (F32)
|
100% |
846
15.6 IPS |
|
|
Machine Translation (F16)
|
99% |
944
17.4 IPS |
|
|
Machine Translation (I8)
|
99% |
833
15.3 IPS |
