iPhone 16 Pro Max
Geekbench AI Score
4689
Single Precision Score
5554
Half Precision Score
5224
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 03 2025 03:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
870
161.9 IPS |
|
|
Image Classification (HP)
|
100% |
901
167.5 IPS |
|
|
Image Classification (Q)
|
96% |
908
169.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4236
68.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4940
80.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4758
77.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15633
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17260
20.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
17105
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1715
136.0 IPS |
|
|
Object Detection (HP)
|
100% |
1821
144.4 IPS |
|
|
Object Detection (Q)
|
92% |
1588
126.8 IPS |
|
|
Face Detection (SP)
|
100% |
7641
90.8 IPS |
|
|
Face Detection (HP)
|
100% |
10296
122.3 IPS |
|
|
Face Detection (Q)
|
100% |
8554
101.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13480
103.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15388
118.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
14107
110.2 IPS |
|
|
Style Transfer (SP)
|
100% |
32748
42.1 IPS |
|
|
Style Transfer (HP)
|
100% |
40320
51.8 IPS |
|
|
Style Transfer (Q)
|
96% |
39123
50.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4042
149.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4081
150.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3681
135.9 IPS |
|
|
Text Classification (SP)
|
100% |
3439
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
6169
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5985
8.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1111
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1243
21.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1241
21.4 IPS |
