iPhone 16 Pro Max
Geekbench AI Score
4420
Single Precision Score
7518
Half Precision Score
5840
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 06:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2024
376.3 IPS |
|
|
Image Classification (HP)
|
100% |
3454
642.3 IPS |
|
|
Image Classification (Q)
|
96% |
2318
432.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1781
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2835
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3247
52.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8671
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17170
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14508
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2279
180.8 IPS |
|
|
Object Detection (HP)
|
97% |
3615
287.8 IPS |
|
|
Object Detection (Q)
|
94% |
2538
202.3 IPS |
|
|
Face Detection (SP)
|
100% |
3414
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
6706
79.7 IPS |
|
|
Face Detection (Q)
|
100% |
3829
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7567
58.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13196
102.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9023
70.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19965
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34451
44.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27890
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5146
190.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7144
263.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3894
143.8 IPS |
|
|
Text Classification (SP)
|
100% |
3723
4.97 KIPS |
|
|
Text Classification (HP)
|
99% |
6179
8.25 KIPS |
|
|
Text Classification (Q)
|
93% |
6141
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4051
69.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7055
121.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7238
125.1 IPS |
