iPhone 14 Pro Max
Geekbench ML Score
2682
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 21 2024 09:45 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| Model | iPhone 14 Pro Max |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 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% |
1154
216.0 IPS |
|
|
Image Classification (F16)
|
100% |
976
182.6 IPS |
|
|
Image Classification (I8)
|
99% |
1270
237.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1140
19.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1199
20.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1183
19.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
11314
13.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
12065
14.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
11903
14.4 IPS |
|
|
Object Detection (F32)
|
100% |
1390
103.7 IPS |
|
|
Object Detection (F16)
|
100% |
1404
104.8 IPS |
|
|
Object Detection (I8)
|
97% |
1443
107.7 IPS |
|
|
Face Detection (F32)
|
100% |
4971
59.1 IPS |
|
|
Face Detection (F16)
|
97% |
5484
65.2 IPS |
|
|
Face Detection (I8)
|
96% |
5220
62.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
8345
64.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
8860
68.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
8411
65.2 IPS |
|
|
Style Transfer (F32)
|
100% |
20921
27.5 IPS |
|
|
Style Transfer (F16)
|
100% |
22460
29.5 IPS |
|
|
Style Transfer (I8)
|
100% |
23255
30.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4195
149.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4953
176.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4942
176.5 IPS |
|
|
Text Classification (F32)
|
100% |
376
541.0 IPS |
|
|
Text Classification (F16)
|
100% |
379
544.4 IPS |
|
|
Text Classification (I8)
|
96% |
224
321.6 IPS |
|
|
Machine Translation (F32)
|
100% |
593
10.9 IPS |
|
|
Machine Translation (F16)
|
100% |
638
11.7 IPS |
|
|
Machine Translation (I8)
|
99% |
569
10.5 IPS |
