iPhone 16 Pro Max
Geekbench AI Score
5767
Single Precision Score
6743
Half Precision Score
6133
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | khodaparastan |
| Upload Date | April 28 2025 08:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2747
510.8 IPS |
|
|
Image Classification (HP)
|
100% |
2728
507.4 IPS |
|
|
Image Classification (Q)
|
97% |
2716
506.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3423
55.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4444
72.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4410
71.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15687
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16381
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15604
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3241
257.1 IPS |
|
|
Object Detection (HP)
|
100% |
3474
275.6 IPS |
|
|
Object Detection (Q)
|
91% |
2858
228.4 IPS |
|
|
Face Detection (SP)
|
100% |
8014
95.2 IPS |
|
|
Face Detection (HP)
|
100% |
10773
128.0 IPS |
|
|
Face Detection (Q)
|
100% |
7193
85.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13389
103.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14448
111.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
12177
95.2 IPS |
|
|
Style Transfer (SP)
|
100% |
33031
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39560
50.9 IPS |
|
|
Style Transfer (Q)
|
96% |
36395
47.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8093
298.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8512
314.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6869
253.6 IPS |
|
|
Text Classification (SP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5899
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5880
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
867
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
912
15.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1096
18.9 IPS |
