iPhone 16 Pro Max
Geekbench AI Score
4481
Single Precision Score
7591
Half Precision Score
6096
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 25 2025 07:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2002
372.3 IPS |
|
|
Image Classification (HP)
|
100% |
3460
643.5 IPS |
|
|
Image Classification (Q)
|
96% |
2310
431.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1783
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2785
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3263
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8961
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17900
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14666
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2273
180.3 IPS |
|
|
Object Detection (HP)
|
97% |
3681
293.0 IPS |
|
|
Object Detection (Q)
|
94% |
2613
208.3 IPS |
|
|
Face Detection (SP)
|
100% |
3501
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
6425
76.3 IPS |
|
|
Face Detection (Q)
|
100% |
3939
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7937
61.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13563
104.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9428
73.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20374
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36218
46.6 IPS |
|
|
Style Transfer (Q)
|
96% |
29748
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5296
195.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7105
262.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5092
188.0 IPS |
|
|
Text Classification (SP)
|
100% |
3715
4.96 KIPS |
|
|
Text Classification (HP)
|
99% |
6263
8.36 KIPS |
|
|
Text Classification (Q)
|
93% |
6072
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4036
69.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7134
123.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7184
124.1 IPS |
