iPhone 16 Pro Max
Geekbench AI Score
4507
Single Precision Score
7628
Half Precision Score
6104
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 23 2025 05:52 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2057
382.6 IPS |
|
|
Image Classification (HP)
|
100% |
3414
635.0 IPS |
|
|
Image Classification (Q)
|
96% |
2270
423.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1888
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2498
40.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3235
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8877
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17734
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14990
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2285
181.2 IPS |
|
|
Object Detection (HP)
|
97% |
3774
300.4 IPS |
|
|
Object Detection (Q)
|
94% |
2628
209.4 IPS |
|
|
Face Detection (SP)
|
100% |
3852
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
7419
88.2 IPS |
|
|
Face Detection (Q)
|
100% |
4102
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7906
60.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13925
107.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9553
74.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19662
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36871
47.4 IPS |
|
|
Style Transfer (Q)
|
96% |
29938
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5261
194.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7277
268.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4997
184.5 IPS |
|
|
Text Classification (SP)
|
100% |
3363
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5848
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5835
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4147
71.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7210
124.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7262
125.5 IPS |
