iPhone 16 Pro Max
Geekbench AI Score
4307
Single Precision Score
7433
Half Precision Score
5882
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 16 2025 01:28 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1999
371.8 IPS |
|
|
Image Classification (HP)
|
100% |
3500
650.8 IPS |
|
|
Image Classification (Q)
|
96% |
2306
430.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1748
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2712
44.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3236
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8618
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17030
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14391
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2229
176.8 IPS |
|
|
Object Detection (HP)
|
97% |
3667
291.9 IPS |
|
|
Object Detection (Q)
|
94% |
2502
199.4 IPS |
|
|
Face Detection (SP)
|
100% |
3311
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
6339
75.3 IPS |
|
|
Face Detection (Q)
|
100% |
3709
44.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7403
57.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13139
101.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
8834
68.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20112
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35398
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28372
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5013
185.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7135
263.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4736
174.9 IPS |
|
|
Text Classification (SP)
|
100% |
3449
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
6115
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6079
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3843
66.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6758
116.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6896
119.2 IPS |
