iPhone 16 Pro Max
Geekbench AI Score
4325
Single Precision Score
7549
Half Precision Score
5972
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 20 2025 06:38 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% |
1919
356.9 IPS |
|
|
Image Classification (HP)
|
100% |
3345
622.0 IPS |
|
|
Image Classification (Q)
|
96% |
2250
420.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1828
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2834
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3272
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8456
9.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
17478
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14853
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2249
178.4 IPS |
|
|
Object Detection (HP)
|
97% |
3625
288.6 IPS |
|
|
Object Detection (Q)
|
94% |
2539
202.4 IPS |
|
|
Face Detection (SP)
|
100% |
3498
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
6998
83.2 IPS |
|
|
Face Detection (Q)
|
100% |
3902
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7892
60.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13805
106.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9490
74.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19158
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36325
46.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29440
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5022
185.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7243
267.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5011
185.0 IPS |
|
|
Text Classification (SP)
|
100% |
3360
4.48 KIPS |
|
|
Text Classification (HP)
|
100% |
5833
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5761
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3847
66.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6755
116.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6615
114.3 IPS |
