iPhone 15 Pro Max
Geekbench ML Score
8839
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 05:11 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1201
224.7 IPS |
|
|
Image Classification (F16)
|
100% |
9793
1.83 KIPS |
|
|
Image Classification (I8)
|
99% |
11205
2.10 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1364
22.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2069
34.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
2054
34.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
14789
17.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
95858
116.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
98533
119.3 IPS |
|
|
Object Detection (F32)
|
100% |
1733
129.4 IPS |
|
|
Object Detection (F16)
|
100% |
5742
428.7 IPS |
|
|
Object Detection (I8)
|
97% |
2323
173.5 IPS |
|
|
Face Detection (F32)
|
100% |
6130
72.9 IPS |
|
|
Face Detection (F16)
|
97% |
19759
234.9 IPS |
|
|
Face Detection (I8)
|
96% |
19700
234.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
12323
95.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
46074
357.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
47607
369.2 IPS |
|
|
Style Transfer (F32)
|
100% |
28439
37.4 IPS |
|
|
Style Transfer (F16)
|
100% |
134114
176.4 IPS |
|
|
Style Transfer (I8)
|
100% |
130672
171.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7165
255.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
31715
1.13 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
30966
1.11 KIPS |
|
|
Text Classification (F32)
|
100% |
2895
4.16 KIPS |
|
|
Text Classification (F16)
|
100% |
4922
7.07 KIPS |
|
|
Text Classification (I8)
|
96% |
4830
6.94 KIPS |
|
|
Machine Translation (F32)
|
100% |
638
11.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1591
29.3 IPS |
|
|
Machine Translation (I8)
|
99% |
634
11.7 IPS |
