iPhone 15 Pro Max
Geekbench ML Score
4545
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 05:10 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone 15 Pro Max |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 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 | 7.48 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1701
318.3 IPS |
|
|
Image Classification (F16)
|
100% |
2906
543.7 IPS |
|
|
Image Classification (I8)
|
99% |
2901
542.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
966
16.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1131
18.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1124
18.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
8123
9.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
16917
20.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
16820
20.4 IPS |
|
|
Object Detection (F32)
|
100% |
1673
124.9 IPS |
|
|
Object Detection (F16)
|
100% |
2779
207.5 IPS |
|
|
Object Detection (I8)
|
97% |
1675
125.0 IPS |
|
|
Face Detection (F32)
|
100% |
3088
36.7 IPS |
|
|
Face Detection (F16)
|
97% |
6326
75.2 IPS |
|
|
Face Detection (I8)
|
97% |
6268
74.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
7110
55.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
13556
105.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
13583
105.3 IPS |
|
|
Style Transfer (F32)
|
100% |
21486
28.3 IPS |
|
|
Style Transfer (F16)
|
100% |
32103
42.2 IPS |
|
|
Style Transfer (I8)
|
100% |
32498
42.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5443
194.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6082
217.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6082
217.2 IPS |
|
|
Text Classification (F32)
|
100% |
2921
4.20 KIPS |
|
|
Text Classification (F16)
|
100% |
5003
7.19 KIPS |
|
|
Text Classification (I8)
|
96% |
5010
7.20 KIPS |
|
|
Machine Translation (F32)
|
100% |
1381
25.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1704
31.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1352
24.9 IPS |
