iPhone 15 Pro Max
Geekbench ML Score
5982
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 09 2024 11:46 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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% |
1604
300.2 IPS |
|
|
Image Classification (F16)
|
100% |
6273
1.17 KIPS |
|
|
Image Classification (I8)
|
99% |
6934
1.30 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1356
22.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1771
29.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1731
28.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
14448
17.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
82072
99.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
85194
103.2 IPS |
|
|
Object Detection (F32)
|
100% |
1447
108.0 IPS |
|
|
Object Detection (F16)
|
100% |
3836
286.4 IPS |
|
|
Object Detection (I8)
|
97% |
1825
136.3 IPS |
|
|
Face Detection (F32)
|
100% |
6424
76.4 IPS |
|
|
Face Detection (F16)
|
97% |
10482
124.6 IPS |
|
|
Face Detection (I8)
|
96% |
10568
125.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
12230
94.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
37839
293.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
42785
331.8 IPS |
|
|
Style Transfer (F32)
|
100% |
27808
36.6 IPS |
|
|
Style Transfer (F16)
|
100% |
124109
163.3 IPS |
|
|
Style Transfer (I8)
|
100% |
122667
161.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6879
245.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18006
643.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18278
652.8 IPS |
|
|
Text Classification (F32)
|
100% |
451
648.5 IPS |
|
|
Text Classification (F16)
|
100% |
486
698.4 IPS |
|
|
Text Classification (I8)
|
96% |
298
428.4 IPS |
|
|
Machine Translation (F32)
|
100% |
741
13.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1535
28.3 IPS |
|
|
Machine Translation (I8)
|
99% |
680
12.5 IPS |
