iPhone 16 Pro Max
Geekbench AI Score
5715
Single Precision Score
6737
Half Precision Score
5998
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 21 2024 12:42 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
3017
561.1 IPS |
|
|
Image Classification (HP)
|
100% |
2842
528.5 IPS |
|
|
Image Classification (Q)
|
97% |
2873
536.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3324
53.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4418
71.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4364
70.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15520
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16450
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15473
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
3142
249.2 IPS |
|
|
Object Detection (HP)
|
100% |
3500
277.6 IPS |
|
|
Object Detection (Q)
|
91% |
2846
227.4 IPS |
|
|
Face Detection (SP)
|
100% |
7840
93.2 IPS |
|
|
Face Detection (HP)
|
100% |
10631
126.3 IPS |
|
|
Face Detection (Q)
|
100% |
7072
84.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13460
103.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14362
110.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
12316
96.3 IPS |
|
|
Style Transfer (SP)
|
100% |
32687
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39390
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
35258
45.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7953
293.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8429
311.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6816
251.7 IPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5864
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5836
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
810
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
897
15.4 IPS |
|
|
Machine Translation (Q)
|
98% |
894
15.4 IPS |
