iPhone 16 Pro Max
Geekbench AI Score
4575
Single Precision Score
5451
Half Precision Score
5202
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 12:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
821
152.7 IPS |
|
|
Image Classification (HP)
|
100% |
908
168.9 IPS |
|
|
Image Classification (Q)
|
96% |
789
147.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3857
62.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4889
79.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4574
74.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14979
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17945
20.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
17093
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1674
132.8 IPS |
|
|
Object Detection (HP)
|
100% |
1702
135.0 IPS |
|
|
Object Detection (Q)
|
92% |
1565
125.0 IPS |
|
|
Face Detection (SP)
|
100% |
7289
86.6 IPS |
|
|
Face Detection (HP)
|
100% |
10218
121.4 IPS |
|
|
Face Detection (Q)
|
100% |
8076
96.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12914
99.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15043
115.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
13943
108.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31067
39.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39156
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
37888
48.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4242
156.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3973
146.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4852
179.2 IPS |
|
|
Text Classification (SP)
|
100% |
3688
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6104
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6068
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1108
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1172
20.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1197
20.7 IPS |
