iPhone 16 Pro Max
Geekbench AI Score
4552
Single Precision Score
7803
Half Precision Score
6202
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | moucha |
| Upload Date | April 19 2025 08:16 AM |
| Views | 7 |
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% |
2074
385.7 IPS |
|
|
Image Classification (HP)
|
100% |
3411
634.3 IPS |
|
|
Image Classification (Q)
|
96% |
2251
420.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1953
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2881
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3328
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9101
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18020
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15113
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2295
182.0 IPS |
|
|
Object Detection (HP)
|
97% |
3795
302.1 IPS |
|
|
Object Detection (Q)
|
94% |
2636
210.1 IPS |
|
|
Face Detection (SP)
|
100% |
3806
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
7422
88.2 IPS |
|
|
Face Detection (Q)
|
100% |
4164
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8029
61.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14115
109.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9694
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19984
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37472
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30609
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5326
196.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7233
267.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5156
190.4 IPS |
|
|
Text Classification (SP)
|
100% |
3384
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5996
8.00 KIPS |
|
|
Text Classification (Q)
|
93% |
6030
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
4106
70.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7320
126.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7353
127.1 IPS |
