iPhone 16 Pro Max
Geekbench AI Score
6143
Single Precision Score
7076
Half Precision Score
6854
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 27 2025 10:23 PM |
| Views | 3 |
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% |
2891
537.6 IPS |
|
|
Image Classification (HP)
|
100% |
2775
516.0 IPS |
|
|
Image Classification (Q)
|
96% |
3137
585.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4484
72.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4913
79.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4769
77.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15632
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17043
19.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
17036
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
3215
255.0 IPS |
|
|
Object Detection (HP)
|
100% |
3456
274.2 IPS |
|
|
Object Detection (Q)
|
92% |
3438
274.4 IPS |
|
|
Face Detection (SP)
|
100% |
7742
92.0 IPS |
|
|
Face Detection (HP)
|
100% |
10920
129.8 IPS |
|
|
Face Detection (Q)
|
100% |
8599
102.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13561
104.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15033
115.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
14002
109.4 IPS |
|
|
Style Transfer (SP)
|
100% |
33085
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38828
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
38880
50.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8114
299.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8265
305.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7614
281.2 IPS |
|
|
Text Classification (SP)
|
100% |
3376
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5873
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5861
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1236
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1267
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1250
21.6 IPS |
