iPhone 16 Pro Max
Geekbench AI Score
6106
Single Precision Score
7205
Half Precision Score
6737
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | MrTom |
| Upload Date | August 30 2025 06:24 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2889
537.2 IPS |
|
|
Image Classification (HP)
|
100% |
2786
518.0 IPS |
|
|
Image Classification (Q)
|
96% |
2891
540.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4469
72.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4963
80.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4782
77.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15740
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17488
20.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
17082
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
3163
250.9 IPS |
|
|
Object Detection (HP)
|
100% |
3709
294.2 IPS |
|
|
Object Detection (Q)
|
92% |
3195
255.1 IPS |
|
|
Face Detection (SP)
|
100% |
7668
91.1 IPS |
|
|
Face Detection (HP)
|
100% |
10908
129.6 IPS |
|
|
Face Detection (Q)
|
100% |
8444
100.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13437
103.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15469
119.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
13965
109.1 IPS |
|
|
Style Transfer (SP)
|
100% |
32828
42.2 IPS |
|
|
Style Transfer (HP)
|
100% |
40835
52.5 IPS |
|
|
Style Transfer (Q)
|
96% |
39068
50.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7961
294.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8238
304.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7485
276.4 IPS |
|
|
Text Classification (SP)
|
100% |
3380
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
6062
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5893
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1232
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1223
21.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1257
21.7 IPS |
