iPhone 16 Pro Max
Geekbench AI Score
3663
Single Precision Score
6303
Half Precision Score
4980
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 08 2025 09:09 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1648
306.5 IPS |
|
|
Image Classification (HP)
|
100% |
2766
514.3 IPS |
|
|
Image Classification (Q)
|
96% |
1821
340.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1545
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2381
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2660
43.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8099
9.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
15611
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13293
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1965
155.9 IPS |
|
|
Object Detection (HP)
|
97% |
3042
242.2 IPS |
|
|
Object Detection (Q)
|
94% |
2130
169.7 IPS |
|
|
Face Detection (SP)
|
100% |
2496
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
5864
69.7 IPS |
|
|
Face Detection (Q)
|
100% |
3384
40.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6807
52.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
11237
86.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
7841
61.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19358
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
31507
40.5 IPS |
|
|
Style Transfer (Q)
|
96% |
25682
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4838
178.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5814
214.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4113
151.9 IPS |
|
|
Text Classification (SP)
|
100% |
3000
4.00 KIPS |
|
|
Text Classification (HP)
|
99% |
5308
7.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5222
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2249
38.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4943
85.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4681
80.9 IPS |
