iPhone 16 Pro Max
Geekbench AI Score
4643
Single Precision Score
7841
Half Precision Score
6276
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | June 04 2025 01:41 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2078
386.4 IPS |
|
|
Image Classification (HP)
|
100% |
3396
631.5 IPS |
|
|
Image Classification (Q)
|
96% |
2279
425.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1993
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2854
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3335
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9429
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18591
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15730
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2335
185.2 IPS |
|
|
Object Detection (HP)
|
97% |
3806
303.0 IPS |
|
|
Object Detection (Q)
|
94% |
2652
211.4 IPS |
|
|
Face Detection (SP)
|
100% |
3926
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
7539
89.6 IPS |
|
|
Face Detection (Q)
|
100% |
4235
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8219
63.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14378
111.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10042
78.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20531
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37814
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31132
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5422
200.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7273
268.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5127
189.3 IPS |
|
|
Text Classification (SP)
|
100% |
3368
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5876
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
6005
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
4221
72.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7314
126.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7343
126.9 IPS |
