iPhone 16 Pro Max
Geekbench AI Score
4586
Single Precision Score
7712
Half Precision Score
6177
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 07 2025 03:29 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% |
1997
371.4 IPS |
|
|
Image Classification (HP)
|
100% |
3394
631.1 IPS |
|
|
Image Classification (Q)
|
96% |
2311
431.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1766
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2775
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3262
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9235
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18182
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15231
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2324
184.4 IPS |
|
|
Object Detection (HP)
|
97% |
3741
297.8 IPS |
|
|
Object Detection (Q)
|
94% |
2631
209.7 IPS |
|
|
Face Detection (SP)
|
100% |
3610
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
6947
82.5 IPS |
|
|
Face Detection (Q)
|
100% |
4082
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8088
62.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13729
106.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9681
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22223
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37614
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
29549
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5466
201.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7179
265.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5156
190.4 IPS |
|
|
Text Classification (SP)
|
100% |
3745
5.00 KIPS |
|
|
Text Classification (HP)
|
99% |
6117
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6066
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
4095
70.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7379
127.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7341
126.9 IPS |
