iPhone 16 Pro Max
Geekbench AI Score
5793
Single Precision Score
7050
Half Precision Score
6665
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Outrun9430 |
| Upload Date | October 05 2025 03:48 AM |
| Views | 6 |
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% |
2906
540.5 IPS |
|
|
Image Classification (HP)
|
100% |
3529
656.2 IPS |
|
|
Image Classification (Q)
|
96% |
3158
589.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4018
65.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4696
76.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4567
74.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14756
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16785
19.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
16141
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2875
228.0 IPS |
|
|
Object Detection (HP)
|
100% |
3255
258.2 IPS |
|
|
Object Detection (Q)
|
92% |
3350
267.4 IPS |
|
|
Face Detection (SP)
|
100% |
6838
81.3 IPS |
|
|
Face Detection (HP)
|
100% |
10069
119.6 IPS |
|
|
Face Detection (Q)
|
100% |
7869
93.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12613
97.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14698
113.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
13762
107.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30223
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37887
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
37613
48.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7091
261.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8058
297.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6896
254.6 IPS |
|
|
Text Classification (SP)
|
100% |
3811
5.09 KIPS |
|
|
Text Classification (HP)
|
99% |
6465
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6464
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1221
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1148
19.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1223
21.1 IPS |
