iPhone 16 Pro Max
Geekbench AI Score
1999
Single Precision Score
3234
Half Precision Score
2564
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Graeme Stewart |
| Upload Date | September 06 2025 04:46 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
831
154.6 IPS |
|
|
Image Classification (HP)
|
100% |
1405
261.2 IPS |
|
|
Image Classification (Q)
|
96% |
911
170.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
733
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1202
19.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1301
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4287
5.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
8082
9.43 IPS |
|
|
Pose Estimation (Q)
|
95% |
6848
8.03 IPS |
|
|
Object Detection (SP)
|
100% |
1006
79.8 IPS |
|
|
Object Detection (HP)
|
97% |
1594
126.9 IPS |
|
|
Object Detection (Q)
|
94% |
1105
88.1 IPS |
|
|
Face Detection (SP)
|
100% |
1480
17.6 IPS |
|
|
Face Detection (HP)
|
100% |
2787
33.1 IPS |
|
|
Face Detection (Q)
|
100% |
1688
20.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3568
27.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
5866
45.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
4076
31.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10141
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
15970
20.5 IPS |
|
|
Style Transfer (Q)
|
96% |
12705
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2598
95.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3047
112.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2123
78.4 IPS |
|
|
Text Classification (SP)
|
100% |
1527
2.04 KIPS |
|
|
Text Classification (HP)
|
99% |
2616
3.49 KIPS |
|
|
Text Classification (Q)
|
93% |
2575
3.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1831
31.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2768
47.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2869
49.6 IPS |
