iPhone 16 Pro Max
Geekbench AI Score
5792
Single Precision Score
6797
Half Precision Score
6093
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 12 2025 02:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
3000
558.0 IPS |
|
|
Image Classification (HP)
|
100% |
3016
560.9 IPS |
|
|
Image Classification (Q)
|
97% |
2841
530.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3340
54.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4415
71.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4410
71.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15704
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16637
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15740
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
3203
254.1 IPS |
|
|
Object Detection (HP)
|
100% |
3473
275.4 IPS |
|
|
Object Detection (Q)
|
91% |
2841
227.0 IPS |
|
|
Face Detection (SP)
|
100% |
7915
94.0 IPS |
|
|
Face Detection (HP)
|
100% |
10988
130.6 IPS |
|
|
Face Detection (Q)
|
100% |
7610
90.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14013
108.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15195
117.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
12662
99.0 IPS |
|
|
Style Transfer (SP)
|
100% |
32622
41.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38459
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
37112
47.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7961
293.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8276
305.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6693
247.1 IPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5885
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5837
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
857
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
875
15.1 IPS |
|
|
Machine Translation (Q)
|
98% |
901
15.6 IPS |
