iPhone 13 Pro Max
Geekbench ML Score
5067
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 10:50 PM |
| Views | 2 |
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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1046
195.8 IPS |
|
|
Image Classification (F16)
|
100% |
5189
971.0 IPS |
|
|
Image Classification (I8)
|
99% |
4944
925.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1164
19.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1539
25.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1518
25.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
10752
13.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
72806
88.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
74601
90.3 IPS |
|
|
Object Detection (F32)
|
100% |
1312
97.9 IPS |
|
|
Object Detection (F16)
|
100% |
3416
255.0 IPS |
|
|
Object Detection (I8)
|
97% |
1367
102.1 IPS |
|
|
Face Detection (F32)
|
100% |
4376
52.0 IPS |
|
|
Face Detection (F16)
|
97% |
9842
117.0 IPS |
|
|
Face Detection (I8)
|
96% |
9858
117.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
8771
68.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
32537
252.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
33206
257.5 IPS |
|
|
Style Transfer (F32)
|
100% |
18633
24.5 IPS |
|
|
Style Transfer (F16)
|
100% |
97004
127.6 IPS |
|
|
Style Transfer (I8)
|
100% |
101050
132.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4148
148.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15743
562.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
15145
540.9 IPS |
|
|
Text Classification (F32)
|
100% |
370
531.9 IPS |
|
|
Text Classification (F16)
|
100% |
951
1.37 KIPS |
|
|
Text Classification (I8)
|
96% |
527
757.8 IPS |
|
|
Machine Translation (F32)
|
100% |
584
10.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1169
21.5 IPS |
|
|
Machine Translation (I8)
|
99% |
580
10.7 IPS |
