iPhone 16 Pro Max
Geekbench AI Score
4611
Single Precision Score
7850
Half Precision Score
6229
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 14 2025 12:01 PM |
| Views | 1 |
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% |
2079
386.6 IPS |
|
|
Image Classification (HP)
|
100% |
3439
639.6 IPS |
|
|
Image Classification (Q)
|
96% |
2277
425.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1973
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2864
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3345
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9251
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18369
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15442
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2313
183.5 IPS |
|
|
Object Detection (HP)
|
97% |
3790
301.7 IPS |
|
|
Object Detection (Q)
|
94% |
2654
211.5 IPS |
|
|
Face Detection (SP)
|
100% |
3872
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
7488
89.0 IPS |
|
|
Face Detection (Q)
|
100% |
4172
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8162
62.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14313
110.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9821
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20197
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37939
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30743
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5418
200.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7335
270.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5204
192.2 IPS |
|
|
Text Classification (SP)
|
100% |
3372
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5876
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5829
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4249
73.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7397
127.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7380
127.5 IPS |
