iPhone 15 Pro Max
Geekbench ML Score
5930
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | Odai |
| Upload Date | January 07 2024 07:33 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.3 |
| 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 | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1540
288.1 IPS |
|
|
Image Classification (F16)
|
100% |
6309
1.18 KIPS |
|
|
Image Classification (I8)
|
99% |
6799
1.27 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1386
23.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1777
29.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1770
29.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
14456
17.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
82492
99.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
84475
102.3 IPS |
|
|
Object Detection (F32)
|
100% |
2337
174.5 IPS |
|
|
Object Detection (F16)
|
100% |
3950
294.9 IPS |
|
|
Object Detection (I8)
|
97% |
1540
115.0 IPS |
|
|
Face Detection (F32)
|
100% |
6408
76.2 IPS |
|
|
Face Detection (F16)
|
97% |
10649
126.6 IPS |
|
|
Face Detection (I8)
|
96% |
10563
125.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
11951
92.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
37326
289.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
40872
317.0 IPS |
|
|
Style Transfer (F32)
|
100% |
27191
35.8 IPS |
|
|
Style Transfer (F16)
|
100% |
121493
159.8 IPS |
|
|
Style Transfer (I8)
|
100% |
116668
153.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6446
230.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17830
636.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18587
663.8 IPS |
|
|
Text Classification (F32)
|
100% |
417
598.7 IPS |
|
|
Text Classification (F16)
|
100% |
426
612.5 IPS |
|
|
Text Classification (I8)
|
96% |
273
391.8 IPS |
|
|
Machine Translation (F32)
|
100% |
718
13.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1521
28.0 IPS |
|
|
Machine Translation (I8)
|
99% |
659
12.1 IPS |
