iPhone 16 Pro Max
Geekbench AI Score
5946
Single Precision Score
7083
Half Precision Score
6651
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 09:47 AM |
| Views | 3 |
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% |
2996
557.1 IPS |
|
|
Image Classification (HP)
|
100% |
2780
517.0 IPS |
|
|
Image Classification (Q)
|
96% |
2992
558.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4307
69.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4904
79.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4711
76.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14849
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18081
21.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
17312
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
3086
244.8 IPS |
|
|
Object Detection (HP)
|
100% |
3384
268.4 IPS |
|
|
Object Detection (Q)
|
92% |
3206
255.9 IPS |
|
|
Face Detection (SP)
|
100% |
6986
83.0 IPS |
|
|
Face Detection (HP)
|
100% |
10464
124.3 IPS |
|
|
Face Detection (Q)
|
100% |
8035
95.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12772
98.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15140
116.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
13761
107.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30993
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
39136
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
38383
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7374
272.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8211
303.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6953
256.7 IPS |
|
|
Text Classification (SP)
|
100% |
3679
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6128
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6055
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1246
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1222
21.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1212
20.9 IPS |
