iPhone 16 Pro Max
Geekbench AI Score
6031
Single Precision Score
6794
Half Precision Score
6723
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 07 2025 08:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2642
491.3 IPS |
|
|
Image Classification (HP)
|
100% |
1840
342.2 IPS |
|
|
Image Classification (Q)
|
96% |
3013
562.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4387
71.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4903
79.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4712
76.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15572
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17099
20.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
17111
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
3092
245.2 IPS |
|
|
Object Detection (HP)
|
100% |
3352
265.9 IPS |
|
|
Object Detection (Q)
|
92% |
3034
242.1 IPS |
|
|
Face Detection (SP)
|
100% |
7817
92.9 IPS |
|
|
Face Detection (HP)
|
100% |
10973
130.4 IPS |
|
|
Face Detection (Q)
|
100% |
8574
101.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13886
107.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15607
120.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
13847
108.2 IPS |
|
|
Style Transfer (SP)
|
100% |
31954
41.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38722
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
39458
50.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7864
290.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8131
300.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7429
274.3 IPS |
|
|
Text Classification (SP)
|
100% |
3381
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5872
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5831
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1238
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1281
22.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1262
21.8 IPS |
