iPhone 16 Pro Max
Geekbench AI Score
4261
Single Precision Score
7393
Half Precision Score
5884
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 12:49 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
2003
372.5 IPS |
|
|
Image Classification (HP)
|
100% |
3506
652.0 IPS |
|
|
Image Classification (Q)
|
96% |
2334
435.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1812
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2866
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3254
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8417
9.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
16661
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14133
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2267
179.8 IPS |
|
|
Object Detection (HP)
|
97% |
3655
291.0 IPS |
|
|
Object Detection (Q)
|
94% |
2548
203.1 IPS |
|
|
Face Detection (SP)
|
100% |
3444
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
6682
79.4 IPS |
|
|
Face Detection (Q)
|
100% |
3809
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7281
56.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
12844
99.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
8908
69.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19661
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33297
42.8 IPS |
|
|
Style Transfer (Q)
|
96% |
27254
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4632
171.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6833
252.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4698
173.5 IPS |
|
|
Text Classification (SP)
|
100% |
3432
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
6089
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6037
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3640
62.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6713
116.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6946
120.0 IPS |
