iPhone 14 Pro Max
Geekbench ML Score
3513
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 11 2024 07:07 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
1446
270.6 IPS |
|
|
Image Classification (F16)
|
100% |
1888
353.3 IPS |
|
|
Image Classification (I8)
|
99% |
1841
344.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
759
12.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
763
12.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
803
13.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6250
7.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
13928
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
13994
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1467
109.5 IPS |
|
|
Object Detection (F16)
|
100% |
1975
147.4 IPS |
|
|
Object Detection (I8)
|
97% |
1441
107.6 IPS |
|
|
Face Detection (F32)
|
100% |
2697
32.1 IPS |
|
|
Face Detection (F16)
|
97% |
4344
51.6 IPS |
|
|
Face Detection (I8)
|
97% |
4329
51.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5507
42.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
8547
66.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
8535
66.2 IPS |
|
|
Style Transfer (F32)
|
100% |
17018
22.4 IPS |
|
|
Style Transfer (F16)
|
100% |
26287
34.6 IPS |
|
|
Style Transfer (I8)
|
100% |
26296
34.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3979
142.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4930
176.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4882
174.3 IPS |
|
|
Text Classification (F32)
|
100% |
2350
3.38 KIPS |
|
|
Text Classification (F16)
|
100% |
4089
5.88 KIPS |
|
|
Text Classification (I8)
|
96% |
3924
5.64 KIPS |
|
|
Machine Translation (F32)
|
100% |
1211
22.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1522
28.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1239
22.8 IPS |
