iPhone 13 Pro Max
Geekbench ML Score
5081
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 19 2024 02:17 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1223
228.9 IPS |
|
|
Image Classification (F16)
|
100% |
5035
942.2 IPS |
|
|
Image Classification (I8)
|
99% |
4681
876.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1173
19.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1537
25.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1517
25.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
10335
12.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
72779
88.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
60829
73.7 IPS |
|
|
Object Detection (F32)
|
100% |
1402
104.6 IPS |
|
|
Object Detection (F16)
|
100% |
3513
262.3 IPS |
|
|
Object Detection (I8)
|
97% |
1706
127.3 IPS |
|
|
Face Detection (F32)
|
100% |
4374
52.0 IPS |
|
|
Face Detection (F16)
|
97% |
9885
117.5 IPS |
|
|
Face Detection (I8)
|
96% |
9751
115.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
8780
68.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
33973
263.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
38333
297.3 IPS |
|
|
Style Transfer (F32)
|
100% |
17687
23.3 IPS |
|
|
Style Transfer (F16)
|
100% |
105145
138.3 IPS |
|
|
Style Transfer (I8)
|
100% |
103388
136.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4527
161.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14146
505.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
13959
498.5 IPS |
|
|
Text Classification (F32)
|
100% |
371
533.6 IPS |
|
|
Text Classification (F16)
|
100% |
1019
1.46 KIPS |
|
|
Text Classification (I8)
|
96% |
393
564.9 IPS |
|
|
Machine Translation (F32)
|
100% |
573
10.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1215
22.4 IPS |
|
|
Machine Translation (I8)
|
99% |
581
10.7 IPS |
