iPhone 15 Pro Max
Geekbench ML Score
6020
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 02:44 PM |
| 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% |
1704
318.9 IPS |
|
|
Image Classification (F16)
|
100% |
6200
1.16 KIPS |
|
|
Image Classification (I8)
|
99% |
6765
1.27 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1370
22.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1784
29.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1815
30.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
14596
17.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
83375
101.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
87253
105.7 IPS |
|
|
Object Detection (F32)
|
100% |
1828
136.5 IPS |
|
|
Object Detection (F16)
|
100% |
3729
278.4 IPS |
|
|
Object Detection (I8)
|
97% |
1467
109.5 IPS |
|
|
Face Detection (F32)
|
100% |
6373
75.8 IPS |
|
|
Face Detection (F16)
|
97% |
10597
126.0 IPS |
|
|
Face Detection (I8)
|
96% |
10694
127.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
12059
93.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
38599
299.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
49814
386.3 IPS |
|
|
Style Transfer (F32)
|
100% |
28619
37.6 IPS |
|
|
Style Transfer (F16)
|
100% |
120891
159.0 IPS |
|
|
Style Transfer (I8)
|
100% |
121920
160.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6781
242.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16407
585.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17557
627.0 IPS |
|
|
Text Classification (F32)
|
100% |
445
639.1 IPS |
|
|
Text Classification (F16)
|
100% |
481
691.4 IPS |
|
|
Text Classification (I8)
|
96% |
303
435.0 IPS |
|
|
Machine Translation (F32)
|
100% |
751
13.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1556
28.6 IPS |
|
|
Machine Translation (I8)
|
99% |
694
12.8 IPS |
