iPhone 16 Pro Max
Geekbench AI Score
4003
Single Precision Score
4356
Half Precision Score
4376
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 11 2025 12:15 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1215
226.0 IPS |
|
|
Image Classification (HP)
|
100% |
886
164.7 IPS |
|
|
Image Classification (Q)
|
96% |
794
148.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3491
56.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4667
75.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4501
73.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7152
8.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
9682
11.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11968
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1658
131.5 IPS |
|
|
Object Detection (HP)
|
100% |
1708
135.5 IPS |
|
|
Object Detection (Q)
|
92% |
1415
112.9 IPS |
|
|
Face Detection (SP)
|
100% |
6860
81.5 IPS |
|
|
Face Detection (HP)
|
100% |
7904
93.9 IPS |
|
|
Face Detection (Q)
|
100% |
6884
81.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10000
77.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8369
64.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
11990
93.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19406
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22149
28.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24011
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4144
153.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3984
147.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3403
125.7 IPS |
|
|
Text Classification (SP)
|
100% |
3675
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
5468
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5561
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1038
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1129
19.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1135
19.6 IPS |
