iPhone 16 Pro Max
Geekbench AI Score
4445
Single Precision Score
7497
Half Precision Score
5956
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 07 2025 02:19 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2023
376.2 IPS |
|
|
Image Classification (HP)
|
100% |
3446
640.8 IPS |
|
|
Image Classification (Q)
|
96% |
2318
432.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1758
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2771
44.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3145
51.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8652
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16762
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14315
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2236
177.4 IPS |
|
|
Object Detection (HP)
|
97% |
3633
289.2 IPS |
|
|
Object Detection (Q)
|
94% |
2525
201.3 IPS |
|
|
Face Detection (SP)
|
100% |
3485
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
6536
77.7 IPS |
|
|
Face Detection (Q)
|
100% |
3869
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7748
59.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13117
101.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9213
71.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21058
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35441
45.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27734
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5185
191.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7119
262.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4948
182.7 IPS |
|
|
Text Classification (SP)
|
100% |
3678
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6202
8.28 KIPS |
|
|
Text Classification (Q)
|
93% |
6075
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4038
69.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7191
124.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7183
124.1 IPS |
