iPhone 16 Pro Max
Geekbench AI Score
5831
Single Precision Score
7099
Half Precision Score
6667
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 09 2025 04:52 PM |
| Views | 5 |
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% |
2956
549.7 IPS |
|
|
Image Classification (HP)
|
100% |
2961
550.6 IPS |
|
|
Image Classification (Q)
|
96% |
3110
580.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4218
68.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4897
79.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4695
76.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14839
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17701
20.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
16788
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
3037
240.9 IPS |
|
|
Object Detection (HP)
|
100% |
3677
291.7 IPS |
|
|
Object Detection (Q)
|
92% |
3155
251.9 IPS |
|
|
Face Detection (SP)
|
100% |
6831
81.2 IPS |
|
|
Face Detection (HP)
|
100% |
10281
122.2 IPS |
|
|
Face Detection (Q)
|
100% |
8090
96.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12514
96.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14974
115.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
13797
107.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30289
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37689
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
38263
49.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7369
272.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8043
297.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6877
253.9 IPS |
|
|
Text Classification (SP)
|
100% |
3659
4.88 KIPS |
|
|
Text Classification (HP)
|
99% |
6110
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6345
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1160
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1208
20.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1204
20.8 IPS |
