iPhone 16 Pro Max
Geekbench AI Score
4649
Single Precision Score
7895
Half Precision Score
6265
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | gbcbo2w |
| Upload Date | April 01 2025 11:15 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2084
387.5 IPS |
|
|
Image Classification (HP)
|
100% |
3409
634.0 IPS |
|
|
Image Classification (Q)
|
96% |
2273
424.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1993
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2872
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3327
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9503
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18734
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15785
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2331
184.9 IPS |
|
|
Object Detection (HP)
|
97% |
3796
302.2 IPS |
|
|
Object Detection (Q)
|
94% |
2651
211.3 IPS |
|
|
Face Detection (SP)
|
100% |
3892
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
7510
89.2 IPS |
|
|
Face Detection (Q)
|
100% |
4230
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8167
62.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14405
111.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10000
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20441
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37977
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30863
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5529
204.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7350
271.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5192
191.7 IPS |
|
|
Text Classification (SP)
|
100% |
3388
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
6073
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5883
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4214
72.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7373
127.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7393
127.8 IPS |
