iPhone 15 Pro Max
Geekbench ML Score
7511
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 15 2024 01:37 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1193
223.2 IPS |
|
|
Image Classification (F16)
|
100% |
6089
1.14 KIPS |
|
|
Image Classification (I8)
|
99% |
6649
1.24 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1389
23.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1816
30.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1822
30.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
14767
17.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
85685
103.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
87460
105.9 IPS |
|
|
Object Detection (F32)
|
100% |
1762
131.5 IPS |
|
|
Object Detection (F16)
|
100% |
3885
290.1 IPS |
|
|
Object Detection (I8)
|
97% |
1592
118.9 IPS |
|
|
Face Detection (F32)
|
100% |
6118
72.7 IPS |
|
|
Face Detection (F16)
|
97% |
12563
149.4 IPS |
|
|
Face Detection (I8)
|
96% |
12587
149.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
12217
94.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
36441
282.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
35898
278.4 IPS |
|
|
Style Transfer (F32)
|
100% |
29288
38.5 IPS |
|
|
Style Transfer (F16)
|
100% |
115920
152.5 IPS |
|
|
Style Transfer (I8)
|
100% |
113627
149.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7358
262.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18187
649.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17416
622.0 IPS |
|
|
Text Classification (F32)
|
100% |
2976
4.28 KIPS |
|
|
Text Classification (F16)
|
100% |
5144
7.39 KIPS |
|
|
Text Classification (I8)
|
96% |
5007
7.20 KIPS |
|
|
Machine Translation (F32)
|
100% |
638
11.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1593
29.3 IPS |
|
|
Machine Translation (I8)
|
99% |
644
11.8 IPS |
