iPhone 16 Pro Max
Geekbench AI Score
6156
Single Precision Score
7050
Half Precision Score
6779
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | A0B06 |
| Upload Date | May 24 2025 11:52 PM |
| Views | 13 |
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% |
2846
529.2 IPS |
|
|
Image Classification (HP)
|
100% |
2620
487.3 IPS |
|
|
Image Classification (Q)
|
96% |
2891
539.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4441
72.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4904
79.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4745
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15667
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17159
20.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
16949
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
3358
266.3 IPS |
|
|
Object Detection (HP)
|
100% |
3459
274.3 IPS |
|
|
Object Detection (Q)
|
92% |
3417
272.7 IPS |
|
|
Face Detection (SP)
|
100% |
7757
92.2 IPS |
|
|
Face Detection (HP)
|
100% |
10725
127.4 IPS |
|
|
Face Detection (Q)
|
100% |
8590
102.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13616
104.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15413
118.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
14049
109.7 IPS |
|
|
Style Transfer (SP)
|
100% |
32945
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38890
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
38541
49.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8065
297.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8197
302.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7582
280.0 IPS |
|
|
Text Classification (SP)
|
100% |
3361
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5997
8.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5813
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1248
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1259
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1260
21.8 IPS |
