iPhone 16 Pro Max
Geekbench AI Score
5935
Single Precision Score
6960
Half Precision Score
6677
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ak2wqkRoCBmBvqKVw |
| Upload Date | September 09 2025 11:45 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2961
550.7 IPS |
|
|
Image Classification (HP)
|
100% |
2697
501.6 IPS |
|
|
Image Classification (Q)
|
96% |
3126
583.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4207
68.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4883
79.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4700
76.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14897
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17606
20.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
17019
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
3263
258.9 IPS |
|
|
Object Detection (HP)
|
100% |
3356
266.2 IPS |
|
|
Object Detection (Q)
|
92% |
3386
270.3 IPS |
|
|
Face Detection (SP)
|
100% |
7071
84.0 IPS |
|
|
Face Detection (HP)
|
100% |
10295
122.3 IPS |
|
|
Face Detection (Q)
|
100% |
7945
94.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12601
97.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14900
114.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
13732
107.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30918
39.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38339
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
37447
48.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7341
271.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8029
296.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6909
255.1 IPS |
|
|
Text Classification (SP)
|
100% |
3674
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
6108
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6079
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1206
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1190
20.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1213
21.0 IPS |
