iPhone 14 Pro Max
Geekbench ML Score
3532
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 08:18 PM |
| 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% |
1403
262.6 IPS |
|
|
Image Classification (F16)
|
100% |
1897
355.0 IPS |
|
|
Image Classification (I8)
|
99% |
1901
355.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
711
11.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
729
12.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
736
12.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6280
7.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
14252
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14232
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1443
107.7 IPS |
|
|
Object Detection (F16)
|
100% |
1938
144.6 IPS |
|
|
Object Detection (I8)
|
97% |
1441
107.6 IPS |
|
|
Face Detection (F32)
|
100% |
2660
31.6 IPS |
|
|
Face Detection (F16)
|
97% |
4388
52.2 IPS |
|
|
Face Detection (I8)
|
97% |
4353
51.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5575
43.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
8679
67.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
8677
67.3 IPS |
|
|
Style Transfer (F32)
|
100% |
17322
22.8 IPS |
|
|
Style Transfer (F16)
|
100% |
26519
34.9 IPS |
|
|
Style Transfer (I8)
|
100% |
26647
35.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4032
144.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5274
188.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5246
187.4 IPS |
|
|
Text Classification (F32)
|
100% |
2416
3.47 KIPS |
|
|
Text Classification (F16)
|
100% |
4099
5.89 KIPS |
|
|
Text Classification (I8)
|
96% |
4023
5.78 KIPS |
|
|
Machine Translation (F32)
|
100% |
1259
23.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1501
27.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1275
23.5 IPS |
