iPhone 16 Pro Max
Geekbench AI Score
4350
Single Precision Score
7426
Half Precision Score
5924
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 18 2025 05:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1999
371.7 IPS |
|
|
Image Classification (HP)
|
100% |
3451
641.8 IPS |
|
|
Image Classification (Q)
|
96% |
2308
431.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1747
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2804
45.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3140
50.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8366
9.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
16276
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13899
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
2195
174.1 IPS |
|
|
Object Detection (HP)
|
97% |
3567
284.0 IPS |
|
|
Object Detection (Q)
|
94% |
2538
202.3 IPS |
|
|
Face Detection (SP)
|
100% |
3387
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
6509
77.3 IPS |
|
|
Face Detection (Q)
|
100% |
3803
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7447
57.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
12860
99.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
8893
69.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20056
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34698
44.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27510
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4877
180.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6988
258.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4885
180.4 IPS |
|
|
Text Classification (SP)
|
100% |
3758
5.02 KIPS |
|
|
Text Classification (HP)
|
99% |
6381
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6377
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4082
70.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7016
121.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7194
124.3 IPS |
