iPhone 16 Pro Max
Geekbench AI Score
4632
Single Precision Score
7800
Half Precision Score
6240
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | tboneuk1691 |
| Upload Date | March 24 2025 02:01 PM |
| Views | 11 |
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% |
2071
385.1 IPS |
|
|
Image Classification (HP)
|
100% |
3403
632.9 IPS |
|
|
Image Classification (Q)
|
96% |
2280
425.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1992
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2900
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3340
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9349
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18314
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15513
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2310
183.2 IPS |
|
|
Object Detection (HP)
|
97% |
3792
301.9 IPS |
|
|
Object Detection (Q)
|
94% |
2649
211.1 IPS |
|
|
Face Detection (SP)
|
100% |
3907
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
7411
88.1 IPS |
|
|
Face Detection (Q)
|
100% |
4174
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8144
62.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13849
107.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9924
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20550
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37401
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30793
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5428
200.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7266
268.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5162
190.6 IPS |
|
|
Text Classification (SP)
|
100% |
3385
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5894
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5877
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4254
73.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7401
127.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7392
127.7 IPS |
