iPhone 16 Pro Max
Geekbench AI Score
4445
Single Precision Score
7607
Half Precision Score
6087
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 09 2025 07:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1985
369.2 IPS |
|
|
Image Classification (HP)
|
100% |
3335
620.2 IPS |
|
|
Image Classification (Q)
|
96% |
2264
422.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1909
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2910
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3364
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8683
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17627
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15145
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2108
167.2 IPS |
|
|
Object Detection (HP)
|
97% |
3748
298.4 IPS |
|
|
Object Detection (Q)
|
94% |
2638
210.3 IPS |
|
|
Face Detection (SP)
|
100% |
3505
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
7353
87.4 IPS |
|
|
Face Detection (Q)
|
100% |
4146
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7575
58.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13813
106.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9691
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23320
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36152
46.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29659
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5438
200.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6737
248.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4817
177.9 IPS |
|
|
Text Classification (SP)
|
100% |
3467
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
5900
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5798
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3721
64.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6939
119.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6897
119.2 IPS |
