iPhone 15 Pro Max
Geekbench ML Score
5989
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 12:47 PM |
| Views | 1 |
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% |
1672
312.8 IPS |
|
|
Image Classification (F16)
|
100% |
6176
1.16 KIPS |
|
|
Image Classification (I8)
|
99% |
6715
1.26 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1384
23.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1727
28.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1755
29.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
14806
17.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
83539
101.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
84956
102.9 IPS |
|
|
Object Detection (F32)
|
100% |
1580
118.0 IPS |
|
|
Object Detection (F16)
|
100% |
3949
294.8 IPS |
|
|
Object Detection (I8)
|
97% |
1612
120.4 IPS |
|
|
Face Detection (F32)
|
100% |
6097
72.5 IPS |
|
|
Face Detection (F16)
|
97% |
10494
124.8 IPS |
|
|
Face Detection (I8)
|
96% |
10519
125.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
12346
95.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
35641
276.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
39718
308.0 IPS |
|
|
Style Transfer (F32)
|
100% |
29505
38.8 IPS |
|
|
Style Transfer (F16)
|
100% |
119880
157.7 IPS |
|
|
Style Transfer (I8)
|
100% |
121238
159.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7090
253.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18456
659.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18138
647.8 IPS |
|
|
Text Classification (F32)
|
100% |
481
690.9 IPS |
|
|
Text Classification (F16)
|
100% |
497
714.2 IPS |
|
|
Text Classification (I8)
|
96% |
304
437.5 IPS |
|
|
Machine Translation (F32)
|
100% |
739
13.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1550
28.5 IPS |
|
|
Machine Translation (I8)
|
99% |
684
12.6 IPS |
