iPhone 16 Pro Max
Geekbench AI Score
5906
Single Precision Score
6946
Half Precision Score
6599
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 10:01 PM |
| Views | 2 |
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% |
2980
554.2 IPS |
|
|
Image Classification (HP)
|
100% |
2674
497.3 IPS |
|
|
Image Classification (Q)
|
96% |
3133
585.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4200
68.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4849
78.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4667
75.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14877
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17484
20.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
16826
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
3082
244.5 IPS |
|
|
Object Detection (HP)
|
100% |
3303
262.0 IPS |
|
|
Object Detection (Q)
|
92% |
3084
246.2 IPS |
|
|
Face Detection (SP)
|
100% |
6877
81.7 IPS |
|
|
Face Detection (HP)
|
100% |
10075
119.7 IPS |
|
|
Face Detection (Q)
|
100% |
7816
92.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12713
97.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15214
117.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
13745
107.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30312
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38142
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
38120
49.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7282
268.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8072
298.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6897
254.7 IPS |
|
|
Text Classification (SP)
|
100% |
3710
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6309
8.42 KIPS |
|
|
Text Classification (Q)
|
93% |
6172
8.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1258
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1174
20.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1184
20.5 IPS |
