iPhone 16 Pro Max
Geekbench AI Score
4565
Single Precision Score
7677
Half Precision Score
6203
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 17 2025 03:12 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2006
373.1 IPS |
|
|
Image Classification (HP)
|
100% |
3464
644.3 IPS |
|
|
Image Classification (Q)
|
96% |
2319
433.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1782
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2811
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3286
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9191
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17944
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15033
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2265
179.7 IPS |
|
|
Object Detection (HP)
|
97% |
3730
297.0 IPS |
|
|
Object Detection (Q)
|
94% |
2629
209.6 IPS |
|
|
Face Detection (SP)
|
100% |
3624
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
6976
82.9 IPS |
|
|
Face Detection (Q)
|
100% |
4059
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8105
62.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13427
103.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9568
74.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22001
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36478
46.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30284
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5452
201.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7086
261.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5129
189.4 IPS |
|
|
Text Classification (SP)
|
100% |
3679
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6103
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6281
8.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4083
70.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7392
127.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7401
127.9 IPS |
