iPhone 16 Pro Max
Geekbench AI Score
4517
Single Precision Score
7750
Half Precision Score
6163
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 03:50 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2010
373.8 IPS |
|
|
Image Classification (HP)
|
100% |
3374
627.5 IPS |
|
|
Image Classification (Q)
|
96% |
2285
426.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1949
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2921
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3368
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8892
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18201
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15383
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2119
168.1 IPS |
|
|
Object Detection (HP)
|
97% |
3780
301.0 IPS |
|
|
Object Detection (Q)
|
94% |
2665
212.4 IPS |
|
|
Face Detection (SP)
|
100% |
3561
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
7431
88.3 IPS |
|
|
Face Detection (Q)
|
100% |
4192
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7757
59.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14189
109.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9785
76.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23796
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37554
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30906
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5631
207.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6913
255.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4938
182.3 IPS |
|
|
Text Classification (SP)
|
100% |
3431
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
6004
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5875
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3775
65.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7022
121.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6822
117.9 IPS |
