iPhone 16 Pro Max
Geekbench AI Score
6109
Single Precision Score
7084
Half Precision Score
6780
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Tom34772 |
| Upload Date | April 11 2025 12:46 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2970
552.2 IPS |
|
|
Image Classification (HP)
|
100% |
2766
514.5 IPS |
|
|
Image Classification (Q)
|
96% |
3113
581.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4420
71.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4898
79.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4731
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15678
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17206
20.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
17035
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
3178
252.1 IPS |
|
|
Object Detection (HP)
|
100% |
3433
272.3 IPS |
|
|
Object Detection (Q)
|
92% |
3159
252.2 IPS |
|
|
Face Detection (SP)
|
100% |
7634
90.7 IPS |
|
|
Face Detection (HP)
|
100% |
10775
128.0 IPS |
|
|
Face Detection (Q)
|
100% |
8305
98.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13770
106.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15018
115.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
14010
109.4 IPS |
|
|
Style Transfer (SP)
|
100% |
32921
42.3 IPS |
|
|
Style Transfer (HP)
|
100% |
40711
52.3 IPS |
|
|
Style Transfer (Q)
|
96% |
39152
50.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8050
297.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8166
301.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7611
281.0 IPS |
|
|
Text Classification (SP)
|
100% |
3374
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5901
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5894
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1178
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1254
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1269
21.9 IPS |
