iPhone 16 Pro Max
Geekbench AI Score
6229
Single Precision Score
7141
Half Precision Score
6835
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ShungSoh |
| Upload Date | June 01 2025 06:31 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2937
546.2 IPS |
|
|
Image Classification (HP)
|
100% |
2815
523.5 IPS |
|
|
Image Classification (Q)
|
96% |
3029
565.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4518
73.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4988
80.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4832
78.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15835
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17594
20.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
17291
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
3449
273.6 IPS |
|
|
Object Detection (HP)
|
100% |
3545
281.2 IPS |
|
|
Object Detection (Q)
|
92% |
3231
257.9 IPS |
|
|
Face Detection (SP)
|
100% |
7775
92.4 IPS |
|
|
Face Detection (HP)
|
100% |
10944
130.0 IPS |
|
|
Face Detection (Q)
|
100% |
8721
103.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13681
105.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15117
116.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
14275
111.5 IPS |
|
|
Style Transfer (SP)
|
100% |
33421
43.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39210
50.4 IPS |
|
|
Style Transfer (Q)
|
96% |
39171
50.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8111
299.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8309
306.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7648
282.4 IPS |
|
|
Text Classification (SP)
|
100% |
3372
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5851
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5830
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1250
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1249
21.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1252
21.6 IPS |
