iPhone 15 Pro Max
Geekbench ML Score
3992
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 09 2024 06:02 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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 | 7.44 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1664
311.4 IPS |
|
|
Image Classification (F16)
|
100% |
2179
407.7 IPS |
|
|
Image Classification (I8)
|
99% |
2152
402.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
887
14.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
848
14.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
841
14.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
7267
8.80 IPS |
|
|
Pose Estimation (F16)
|
100% |
15795
19.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
15881
19.2 IPS |
|
|
Object Detection (F32)
|
100% |
1640
122.4 IPS |
|
|
Object Detection (F16)
|
100% |
2247
167.8 IPS |
|
|
Object Detection (I8)
|
97% |
1639
122.3 IPS |
|
|
Face Detection (F32)
|
100% |
2798
33.3 IPS |
|
|
Face Detection (F16)
|
97% |
4671
55.5 IPS |
|
|
Face Detection (I8)
|
97% |
4661
55.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
6049
46.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
9640
74.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
9581
74.3 IPS |
|
|
Style Transfer (F32)
|
100% |
20154
26.5 IPS |
|
|
Style Transfer (F16)
|
100% |
30155
39.7 IPS |
|
|
Style Transfer (I8)
|
100% |
29843
39.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5016
179.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6239
222.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6171
220.4 IPS |
|
|
Text Classification (F32)
|
100% |
2931
4.21 KIPS |
|
|
Text Classification (F16)
|
100% |
4861
6.99 KIPS |
|
|
Text Classification (I8)
|
96% |
4824
6.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
1285
23.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1525
28.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1253
23.1 IPS |
