iPhone 16 Pro Max
Geekbench AI Score
4553
Single Precision Score
7688
Half Precision Score
6175
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 08:57 AM |
| Views | 1 |
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% |
1972
366.8 IPS |
|
|
Image Classification (HP)
|
100% |
3469
645.0 IPS |
|
|
Image Classification (Q)
|
96% |
2318
432.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1739
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2796
45.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3281
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9320
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18163
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15366
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2281
180.9 IPS |
|
|
Object Detection (HP)
|
97% |
3714
295.7 IPS |
|
|
Object Detection (Q)
|
94% |
2616
208.6 IPS |
|
|
Face Detection (SP)
|
100% |
3592
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
6888
81.8 IPS |
|
|
Face Detection (Q)
|
100% |
4033
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8025
61.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13761
106.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9645
75.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22408
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37076
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29507
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5488
202.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7074
261.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5132
189.5 IPS |
|
|
Text Classification (SP)
|
100% |
3689
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6146
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6105
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
4024
69.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7223
124.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7341
126.9 IPS |
