iPhone 15 Pro Max
Geekbench ML Score
3648
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 27 2024 08:20 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1809
338.5 IPS |
|
|
Image Classification (F16)
|
100% |
1677
313.8 IPS |
|
|
Image Classification (I8)
|
99% |
2032
380.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1209
20.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1435
24.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1384
23.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
14517
17.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
15872
19.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
15580
18.9 IPS |
|
|
Object Detection (F32)
|
100% |
1575
117.6 IPS |
|
|
Object Detection (F16)
|
100% |
1633
121.9 IPS |
|
|
Object Detection (I8)
|
97% |
2033
151.8 IPS |
|
|
Face Detection (F32)
|
100% |
6305
75.0 IPS |
|
|
Face Detection (F16)
|
98% |
8134
96.7 IPS |
|
|
Face Detection (I8)
|
97% |
8478
100.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
12180
94.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
14098
109.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
12852
99.7 IPS |
|
|
Style Transfer (F32)
|
100% |
28153
37.0 IPS |
|
|
Style Transfer (F16)
|
100% |
33437
44.0 IPS |
|
|
Style Transfer (I8)
|
100% |
31406
41.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6839
244.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6437
229.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6879
245.7 IPS |
|
|
Text Classification (F32)
|
100% |
475
682.5 IPS |
|
|
Text Classification (F16)
|
100% |
500
718.4 IPS |
|
|
Text Classification (I8)
|
96% |
319
458.4 IPS |
|
|
Machine Translation (F32)
|
100% |
742
13.7 IPS |
|
|
Machine Translation (F16)
|
100% |
797
14.7 IPS |
|
|
Machine Translation (I8)
|
99% |
685
12.6 IPS |
