iPhone 15 Pro Max
Geekbench AI Score
3904
Single Precision Score
6812
Half Precision Score
5977
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | HNT |
| Upload Date | August 29 2024 07:02 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| 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 |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1629
303.0 IPS |
|
|
Image Classification (HP)
|
100% |
2914
541.9 IPS |
|
|
Image Classification (Q)
|
99% |
2901
541.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1599
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2390
38.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
2494
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8061
9.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
16216
18.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14192
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1764
139.9 IPS |
|
|
Object Detection (HP)
|
97% |
3313
263.7 IPS |
|
|
Object Detection (Q)
|
94% |
2334
186.0 IPS |
|
|
Face Detection (SP)
|
100% |
3158
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6629
78.8 IPS |
|
|
Face Detection (Q)
|
100% |
3815
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6958
53.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13483
104.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
13531
104.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20927
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32265
41.5 IPS |
|
|
Style Transfer (Q)
|
100% |
32209
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4835
178.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5794
213.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4311
159.7 IPS |
|
|
Text Classification (SP)
|
100% |
3236
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
5551
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5629
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3094
53.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6208
107.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6024
104.1 IPS |
