iPhone 15 Pro Max
Geekbench ML Score
8833
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 05:50 PM |
| Views | 2 |
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% |
1349
252.5 IPS |
|
|
Image Classification (F16)
|
100% |
9991
1.87 KIPS |
|
|
Image Classification (I8)
|
99% |
10125
1.89 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1150
19.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1966
32.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1910
31.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
14592
17.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
96602
117.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
98436
119.2 IPS |
|
|
Object Detection (F32)
|
100% |
1555
116.1 IPS |
|
|
Object Detection (F16)
|
100% |
6312
471.2 IPS |
|
|
Object Detection (I8)
|
97% |
2113
157.8 IPS |
|
|
Face Detection (F32)
|
100% |
5771
68.6 IPS |
|
|
Face Detection (F16)
|
97% |
19434
231.1 IPS |
|
|
Face Detection (I8)
|
96% |
19487
231.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
11923
92.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
50066
388.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
58741
455.5 IPS |
|
|
Style Transfer (F32)
|
100% |
29024
38.2 IPS |
|
|
Style Transfer (F16)
|
100% |
126302
166.1 IPS |
|
|
Style Transfer (I8)
|
100% |
129987
171.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6654
237.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
36745
1.31 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
32374
1.16 KIPS |
|
|
Text Classification (F32)
|
100% |
3011
4.33 KIPS |
|
|
Text Classification (F16)
|
100% |
5089
7.31 KIPS |
|
|
Text Classification (I8)
|
96% |
5195
7.47 KIPS |
|
|
Machine Translation (F32)
|
100% |
628
11.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1552
28.6 IPS |
|
|
Machine Translation (I8)
|
99% |
636
11.7 IPS |
