iPhone 16 Pro Max
Geekbench AI Score
4526
Single Precision Score
7578
Half Precision Score
6110
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 20 2025 03:15 AM |
| Views | 2 |
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% |
1988
369.7 IPS |
|
|
Image Classification (HP)
|
100% |
3465
644.3 IPS |
|
|
Image Classification (Q)
|
96% |
2317
432.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1753
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2753
44.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3279
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8952
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17072
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14657
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2280
180.8 IPS |
|
|
Object Detection (HP)
|
97% |
3666
291.8 IPS |
|
|
Object Detection (Q)
|
94% |
2597
207.0 IPS |
|
|
Face Detection (SP)
|
100% |
3652
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
6863
81.5 IPS |
|
|
Face Detection (Q)
|
100% |
3962
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7989
61.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13577
105.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9454
73.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21400
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34995
45.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29572
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5349
197.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7194
265.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5071
187.2 IPS |
|
|
Text Classification (SP)
|
100% |
3758
5.02 KIPS |
|
|
Text Classification (HP)
|
99% |
6297
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6125
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4045
69.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7084
122.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7296
126.1 IPS |
