iPhone 15 Pro Max
Geekbench ML Score
6043
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 18 2024 08:55 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1782
333.5 IPS |
|
|
Image Classification (F16)
|
100% |
6309
1.18 KIPS |
|
|
Image Classification (I8)
|
99% |
6809
1.27 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1410
23.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1809
30.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1519
25.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
14447
17.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
82603
100.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
86207
104.4 IPS |
|
|
Object Detection (F32)
|
100% |
2362
176.3 IPS |
|
|
Object Detection (F16)
|
100% |
3873
289.1 IPS |
|
|
Object Detection (I8)
|
97% |
2015
150.5 IPS |
|
|
Face Detection (F32)
|
100% |
6269
74.5 IPS |
|
|
Face Detection (F16)
|
97% |
10631
126.4 IPS |
|
|
Face Detection (I8)
|
96% |
10564
125.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
12054
93.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
34978
271.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
37459
290.5 IPS |
|
|
Style Transfer (F32)
|
100% |
27066
35.6 IPS |
|
|
Style Transfer (F16)
|
100% |
124966
164.4 IPS |
|
|
Style Transfer (I8)
|
100% |
122434
161.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6893
246.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18534
661.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17924
640.1 IPS |
|
|
Text Classification (F32)
|
100% |
447
642.2 IPS |
|
|
Text Classification (F16)
|
100% |
486
697.9 IPS |
|
|
Text Classification (I8)
|
96% |
297
426.8 IPS |
|
|
Machine Translation (F32)
|
100% |
735
13.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1479
27.2 IPS |
|
|
Machine Translation (I8)
|
99% |
659
12.1 IPS |
