iPhone 13 Pro Max
Geekbench ML Score
2692
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | March 27 2024 06:40 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1200
224.5 IPS |
|
|
Image Classification (F16)
|
100% |
1070
200.2 IPS |
|
|
Image Classification (I8)
|
99% |
1424
266.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1161
19.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1232
20.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1215
20.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
10805
13.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
12148
14.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
11943
14.5 IPS |
|
|
Object Detection (F32)
|
100% |
1341
100.1 IPS |
|
|
Object Detection (F16)
|
100% |
1300
97.1 IPS |
|
|
Object Detection (I8)
|
97% |
1393
104.0 IPS |
|
|
Face Detection (F32)
|
100% |
4262
50.7 IPS |
|
|
Face Detection (F16)
|
98% |
5426
64.5 IPS |
|
|
Face Detection (I8)
|
97% |
5357
63.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
8709
67.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
9256
71.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
8586
66.6 IPS |
|
|
Style Transfer (F32)
|
100% |
18541
24.4 IPS |
|
|
Style Transfer (F16)
|
100% |
23406
30.8 IPS |
|
|
Style Transfer (I8)
|
100% |
23149
30.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3991
142.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3981
142.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4146
148.1 IPS |
|
|
Text Classification (F32)
|
100% |
375
539.3 IPS |
|
|
Text Classification (F16)
|
100% |
367
527.5 IPS |
|
|
Text Classification (I8)
|
96% |
419
602.7 IPS |
|
|
Machine Translation (F32)
|
100% |
568
10.5 IPS |
|
|
Machine Translation (F16)
|
100% |
632
11.6 IPS |
|
|
Machine Translation (I8)
|
99% |
566
10.4 IPS |
