iPhone 16 Pro Max
Geekbench AI Score
4531
Single Precision Score
7679
Half Precision Score
6178
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 18 2025 03:30 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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
372.0 IPS |
|
|
Image Classification (HP)
|
100% |
3431
638.1 IPS |
|
|
Image Classification (Q)
|
96% |
2327
434.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1762
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2778
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3262
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8883
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17659
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15011
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2304
182.7 IPS |
|
|
Object Detection (HP)
|
97% |
3706
295.0 IPS |
|
|
Object Detection (Q)
|
94% |
2609
207.9 IPS |
|
|
Face Detection (SP)
|
100% |
3604
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
6925
82.3 IPS |
|
|
Face Detection (Q)
|
100% |
4023
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8059
62.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13728
106.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9519
74.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21375
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36713
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29979
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5408
199.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7199
265.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5103
188.4 IPS |
|
|
Text Classification (SP)
|
100% |
3670
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
6135
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6266
8.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4109
70.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7416
128.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7434
128.5 IPS |
