iPhone 16 Pro Max
Geekbench AI Score
4554
Single Precision Score
7756
Half Precision Score
6206
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | s11mac |
| Upload Date | March 05 2025 05:35 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| Model | iPhone 16 Pro Max |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2011
373.9 IPS |
|
|
Image Classification (HP)
|
100% |
3389
630.3 IPS |
|
|
Image Classification (Q)
|
96% |
2281
426.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1944
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2935
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3366
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9045
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18138
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15671
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2150
170.5 IPS |
|
|
Object Detection (HP)
|
97% |
3799
302.5 IPS |
|
|
Object Detection (Q)
|
94% |
2655
211.7 IPS |
|
|
Face Detection (SP)
|
100% |
3579
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
7356
87.4 IPS |
|
|
Face Detection (Q)
|
100% |
4257
50.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7850
60.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14300
110.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9945
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24434
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37806
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30994
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5595
206.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6964
257.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4975
183.7 IPS |
|
|
Text Classification (SP)
|
100% |
3456
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5899
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5837
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3808
65.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7040
121.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6964
120.3 IPS |
