iPhone 16 Pro Max
Geekbench AI Score
4525
Single Precision Score
7668
Half Precision Score
6178
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | 19jet54 |
| Upload Date | August 11 2025 01:05 PM |
| Views | 6 |
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% |
2000
371.9 IPS |
|
|
Image Classification (HP)
|
100% |
3394
631.2 IPS |
|
|
Image Classification (Q)
|
96% |
2320
433.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1780
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2786
45.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3272
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9039
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18074
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15213
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2332
185.0 IPS |
|
|
Object Detection (HP)
|
97% |
3677
292.7 IPS |
|
|
Object Detection (Q)
|
94% |
2623
209.1 IPS |
|
|
Face Detection (SP)
|
100% |
3541
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
6836
81.2 IPS |
|
|
Face Detection (Q)
|
100% |
3971
47.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8045
62.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13652
105.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9564
74.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21270
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37496
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30655
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5365
198.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7132
263.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5139
189.8 IPS |
|
|
Text Classification (SP)
|
100% |
3706
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6200
8.28 KIPS |
|
|
Text Classification (Q)
|
93% |
6236
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3982
68.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7236
125.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7174
124.0 IPS |
