iPhone 14 Pro Max
Geekbench ML Score
3307
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 08 2024 04:48 AM |
| Views | 1 |
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% |
1420
265.7 IPS |
|
|
Image Classification (F16)
|
100% |
1850
346.2 IPS |
|
|
Image Classification (I8)
|
99% |
1848
345.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
768
12.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
543
9.07 IPS |
|
|
Image Segmentation (I8)
|
100% |
654
10.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
5162
6.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
13425
16.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
13181
16.0 IPS |
|
|
Object Detection (F32)
|
100% |
1356
101.3 IPS |
|
|
Object Detection (F16)
|
100% |
1973
147.3 IPS |
|
|
Object Detection (I8)
|
97% |
1408
105.1 IPS |
|
|
Face Detection (F32)
|
100% |
2125
25.3 IPS |
|
|
Face Detection (F16)
|
97% |
3718
44.2 IPS |
|
|
Face Detection (I8)
|
97% |
3483
41.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5540
43.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
8500
65.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
8540
66.2 IPS |
|
|
Style Transfer (F32)
|
100% |
17385
22.9 IPS |
|
|
Style Transfer (F16)
|
100% |
26154
34.4 IPS |
|
|
Style Transfer (I8)
|
100% |
26092
34.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3973
141.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4873
174.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4869
173.9 IPS |
|
|
Text Classification (F32)
|
100% |
2363
3.40 KIPS |
|
|
Text Classification (F16)
|
100% |
3909
5.62 KIPS |
|
|
Text Classification (I8)
|
96% |
3947
5.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
1240
22.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1367
25.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1107
20.4 IPS |
