iPhone 15 Pro Max
Geekbench ML Score
4375
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 05:48 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% |
1559
291.7 IPS |
|
|
Image Classification (F16)
|
100% |
2888
540.4 IPS |
|
|
Image Classification (I8)
|
99% |
2876
538.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
883
14.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1112
18.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1098
18.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
7460
9.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
15550
18.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
15902
19.3 IPS |
|
|
Object Detection (F32)
|
100% |
1599
119.4 IPS |
|
|
Object Detection (F16)
|
100% |
2672
199.5 IPS |
|
|
Object Detection (I8)
|
97% |
1626
121.4 IPS |
|
|
Face Detection (F32)
|
100% |
2783
33.1 IPS |
|
|
Face Detection (F16)
|
97% |
5851
69.6 IPS |
|
|
Face Detection (I8)
|
97% |
5922
70.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
6707
52.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
13351
103.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
13407
104.0 IPS |
|
|
Style Transfer (F32)
|
100% |
21226
27.9 IPS |
|
|
Style Transfer (F16)
|
100% |
32591
42.9 IPS |
|
|
Style Transfer (I8)
|
100% |
32298
42.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4569
163.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6422
229.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6358
227.1 IPS |
|
|
Text Classification (F32)
|
100% |
2955
4.25 KIPS |
|
|
Text Classification (F16)
|
100% |
5190
7.46 KIPS |
|
|
Text Classification (I8)
|
96% |
5218
7.50 KIPS |
|
|
Machine Translation (F32)
|
100% |
1274
23.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1548
28.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1246
22.9 IPS |
