iPhone 14 Pro Max
Geekbench ML Score
3556
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 17 2024 05:52 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 5.48 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1436
268.8 IPS |
|
|
Image Classification (F16)
|
100% |
1883
352.3 IPS |
|
|
Image Classification (I8)
|
99% |
1884
352.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
787
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
784
13.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
802
13.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6382
7.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
14238
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14217
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1452
108.4 IPS |
|
|
Object Detection (F16)
|
100% |
1982
148.0 IPS |
|
|
Object Detection (I8)
|
97% |
1437
107.3 IPS |
|
|
Face Detection (F32)
|
100% |
2730
32.5 IPS |
|
|
Face Detection (F16)
|
97% |
4386
52.1 IPS |
|
|
Face Detection (I8)
|
97% |
4385
52.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5572
43.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
8685
67.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
8668
67.2 IPS |
|
|
Style Transfer (F32)
|
100% |
17330
22.8 IPS |
|
|
Style Transfer (F16)
|
100% |
26431
34.8 IPS |
|
|
Style Transfer (I8)
|
100% |
26406
34.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4030
143.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5213
186.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5023
179.4 IPS |
|
|
Text Classification (F32)
|
100% |
2370
3.41 KIPS |
|
|
Text Classification (F16)
|
100% |
3958
5.69 KIPS |
|
|
Text Classification (I8)
|
96% |
3934
5.65 KIPS |
|
|
Machine Translation (F32)
|
100% |
1242
22.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1534
28.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1274
23.4 IPS |
