iPhone 15 Pro Max
Geekbench ML Score
5923
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 26 2024 02:39 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1401
262.2 IPS |
|
|
Image Classification (F16)
|
100% |
6169
1.15 KIPS |
|
|
Image Classification (I8)
|
99% |
6820
1.28 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1405
23.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1814
30.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1751
29.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
14515
17.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
82675
100.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
84401
102.2 IPS |
|
|
Object Detection (F32)
|
100% |
1500
112.0 IPS |
|
|
Object Detection (F16)
|
100% |
3950
294.9 IPS |
|
|
Object Detection (I8)
|
97% |
1599
119.4 IPS |
|
|
Face Detection (F32)
|
100% |
6473
77.0 IPS |
|
|
Face Detection (F16)
|
97% |
10631
126.4 IPS |
|
|
Face Detection (I8)
|
96% |
10567
125.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
12153
94.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
38381
297.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
39898
309.4 IPS |
|
|
Style Transfer (F32)
|
100% |
27371
36.0 IPS |
|
|
Style Transfer (F16)
|
100% |
122364
161.0 IPS |
|
|
Style Transfer (I8)
|
100% |
120818
158.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6937
247.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18155
648.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17244
615.8 IPS |
|
|
Text Classification (F32)
|
100% |
454
652.5 IPS |
|
|
Text Classification (F16)
|
100% |
482
692.4 IPS |
|
|
Text Classification (I8)
|
96% |
295
423.9 IPS |
|
|
Machine Translation (F32)
|
100% |
738
13.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1545
28.4 IPS |
|
|
Machine Translation (I8)
|
99% |
681
12.5 IPS |
