iPhone 16 Pro Max
Geekbench AI Score
4455
Single Precision Score
7652
Half Precision Score
6098
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | June 22 2025 06:10 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
2030
377.6 IPS |
|
|
Image Classification (HP)
|
100% |
3463
644.0 IPS |
|
|
Image Classification (Q)
|
96% |
2321
433.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1789
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2804
45.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3295
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8990
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17476
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14870
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2270
180.1 IPS |
|
|
Object Detection (HP)
|
97% |
3660
291.4 IPS |
|
|
Object Detection (Q)
|
94% |
2609
207.9 IPS |
|
|
Face Detection (SP)
|
100% |
3538
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
6944
82.5 IPS |
|
|
Face Detection (Q)
|
100% |
3990
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7737
59.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13501
104.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9444
73.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20989
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37764
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29341
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5307
196.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7154
264.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5036
186.0 IPS |
|
|
Text Classification (SP)
|
100% |
3376
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5990
8.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5975
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4042
69.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7309
126.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7214
124.7 IPS |
