iPhone 15 Pro Max
Geekbench ML Score
8919
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 02:04 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.48 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1460
273.3 IPS |
|
|
Image Classification (F16)
|
100% |
10172
1.90 KIPS |
|
|
Image Classification (I8)
|
99% |
11548
2.16 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1373
22.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2154
36.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
2172
36.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
14818
17.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
97435
118.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
98279
119.0 IPS |
|
|
Object Detection (F32)
|
100% |
1601
119.5 IPS |
|
|
Object Detection (F16)
|
100% |
5403
403.4 IPS |
|
|
Object Detection (I8)
|
97% |
1609
120.1 IPS |
|
|
Face Detection (F32)
|
100% |
6178
73.5 IPS |
|
|
Face Detection (F16)
|
97% |
19985
237.6 IPS |
|
|
Face Detection (I8)
|
96% |
20068
238.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
12333
95.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
53055
411.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
51835
402.0 IPS |
|
|
Style Transfer (F32)
|
100% |
29659
39.0 IPS |
|
|
Style Transfer (F16)
|
100% |
134899
177.4 IPS |
|
|
Style Transfer (I8)
|
100% |
135890
178.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7032
251.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
31533
1.13 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
32799
1.17 KIPS |
|
|
Text Classification (F32)
|
100% |
2924
4.20 KIPS |
|
|
Text Classification (F16)
|
100% |
5068
7.28 KIPS |
|
|
Text Classification (I8)
|
96% |
5020
7.21 KIPS |
|
|
Machine Translation (F32)
|
100% |
627
11.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1535
28.3 IPS |
|
|
Machine Translation (I8)
|
99% |
626
11.5 IPS |
