iPhone 16 Pro Max
Geekbench AI Score
1819
Single Precision Score
3063
Half Precision Score
2464
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 23 2025 09:28 PM |
| Views | 3 |
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% |
823
153.1 IPS |
|
|
Image Classification (HP)
|
100% |
1386
257.7 IPS |
|
|
Image Classification (Q)
|
96% |
889
165.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
723
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1147
18.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1283
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4101
4.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
7860
9.17 IPS |
|
|
Pose Estimation (Q)
|
95% |
6586
7.72 IPS |
|
|
Object Detection (SP)
|
100% |
774
61.4 IPS |
|
|
Object Detection (HP)
|
97% |
1497
119.1 IPS |
|
|
Object Detection (Q)
|
94% |
1076
85.8 IPS |
|
|
Face Detection (SP)
|
100% |
1355
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
2620
31.1 IPS |
|
|
Face Detection (Q)
|
100% |
1611
19.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3284
25.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5620
43.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
3933
30.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9445
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
15082
19.4 IPS |
|
|
Style Transfer (Q)
|
96% |
12322
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2488
91.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2882
106.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2016
74.5 IPS |
|
|
Text Classification (SP)
|
100% |
1432
1.91 KIPS |
|
|
Text Classification (HP)
|
99% |
2441
3.26 KIPS |
|
|
Text Classification (Q)
|
93% |
2455
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1405
24.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2492
43.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2646
45.7 IPS |
