iPhone 13 Pro Max
Geekbench ML Score
2628
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 16 2024 02:06 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1217
227.8 IPS |
|
|
Image Classification (F16)
|
100% |
1123
210.1 IPS |
|
|
Image Classification (I8)
|
99% |
1211
226.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1182
19.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1232
20.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1215
20.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
10234
12.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
11145
13.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
11643
14.1 IPS |
|
|
Object Detection (F32)
|
100% |
1268
94.7 IPS |
|
|
Object Detection (F16)
|
100% |
1280
95.6 IPS |
|
|
Object Detection (I8)
|
97% |
1433
107.0 IPS |
|
|
Face Detection (F32)
|
100% |
4448
52.9 IPS |
|
|
Face Detection (F16)
|
97% |
5553
66.0 IPS |
|
|
Face Detection (I8)
|
96% |
5473
65.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
8434
65.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
9025
70.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
8528
66.1 IPS |
|
|
Style Transfer (F32)
|
100% |
17522
23.0 IPS |
|
|
Style Transfer (F16)
|
100% |
22228
29.2 IPS |
|
|
Style Transfer (I8)
|
100% |
23198
30.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4033
144.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4762
170.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4025
143.7 IPS |
|
|
Text Classification (F32)
|
100% |
388
557.7 IPS |
|
|
Text Classification (F16)
|
100% |
398
571.6 IPS |
|
|
Text Classification (I8)
|
96% |
239
342.9 IPS |
|
|
Machine Translation (F32)
|
100% |
564
10.4 IPS |
|
|
Machine Translation (F16)
|
100% |
626
11.5 IPS |
|
|
Machine Translation (I8)
|
99% |
543
9.99 IPS |
