iPhone 16 Pro Max
Geekbench AI Score
4585
Single Precision Score
7780
Half Precision Score
6224
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 05 2025 01:30 AM |
| Views | 3 |
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% |
2025
376.6 IPS |
|
|
Image Classification (HP)
|
100% |
3470
645.3 IPS |
|
|
Image Classification (Q)
|
96% |
2333
435.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1786
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2804
45.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3291
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9232
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18110
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15314
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2326
184.5 IPS |
|
|
Object Detection (HP)
|
97% |
3729
296.9 IPS |
|
|
Object Detection (Q)
|
94% |
2621
209.0 IPS |
|
|
Face Detection (SP)
|
100% |
3642
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
6897
82.0 IPS |
|
|
Face Detection (Q)
|
100% |
4027
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8155
62.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13749
106.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9674
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22312
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38362
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30546
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5405
199.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7234
267.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5058
186.8 IPS |
|
|
Text Classification (SP)
|
100% |
3705
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6328
8.45 KIPS |
|
|
Text Classification (Q)
|
93% |
6250
8.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3987
68.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7428
128.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7534
130.2 IPS |
