iPhone 16 Pro Max
Geekbench AI Score
5928
Single Precision Score
7097
Half Precision Score
6718
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 12 2025 10:33 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2968
551.9 IPS |
|
|
Image Classification (HP)
|
100% |
3034
564.2 IPS |
|
|
Image Classification (Q)
|
96% |
3147
587.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4281
69.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4889
79.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4706
76.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14861
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17843
20.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
17048
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
3064
243.0 IPS |
|
|
Object Detection (HP)
|
100% |
3411
270.6 IPS |
|
|
Object Detection (Q)
|
92% |
3432
273.9 IPS |
|
|
Face Detection (SP)
|
100% |
7083
84.2 IPS |
|
|
Face Detection (HP)
|
100% |
10314
122.6 IPS |
|
|
Face Detection (Q)
|
100% |
7910
94.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12521
96.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15088
116.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
13570
106.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30554
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38524
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
38272
49.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7364
271.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8047
297.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7019
259.2 IPS |
|
|
Text Classification (SP)
|
100% |
3679
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6109
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6089
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1263
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1219
21.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1231
21.3 IPS |
