iPhone 15 Pro Max
Geekbench ML Score
5974
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 01:15 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1696
317.4 IPS |
|
|
Image Classification (F16)
|
100% |
6228
1.17 KIPS |
|
|
Image Classification (I8)
|
99% |
6869
1.29 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1358
22.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1757
29.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1798
30.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
14575
17.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
82038
99.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
84439
102.3 IPS |
|
|
Object Detection (F32)
|
100% |
1541
115.0 IPS |
|
|
Object Detection (F16)
|
100% |
3841
286.8 IPS |
|
|
Object Detection (I8)
|
97% |
1651
123.3 IPS |
|
|
Face Detection (F32)
|
100% |
6461
76.8 IPS |
|
|
Face Detection (F16)
|
97% |
10706
127.3 IPS |
|
|
Face Detection (I8)
|
96% |
10564
125.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
12215
94.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
36588
283.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
38530
298.8 IPS |
|
|
Style Transfer (F32)
|
100% |
28166
37.1 IPS |
|
|
Style Transfer (F16)
|
100% |
121761
160.2 IPS |
|
|
Style Transfer (I8)
|
100% |
122365
161.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7010
250.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17859
637.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18074
645.5 IPS |
|
|
Text Classification (F32)
|
100% |
451
647.6 IPS |
|
|
Text Classification (F16)
|
100% |
495
710.9 IPS |
|
|
Text Classification (I8)
|
96% |
300
431.3 IPS |
|
|
Machine Translation (F32)
|
100% |
743
13.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1565
28.8 IPS |
|
|
Machine Translation (I8)
|
99% |
682
12.6 IPS |
