iPhone 16 Pro Max
Geekbench AI Score
5976
Single Precision Score
7101
Half Precision Score
6778
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | oiskin |
| Upload Date | October 09 2025 01:28 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2849
529.8 IPS |
|
|
Image Classification (HP)
|
100% |
2623
487.8 IPS |
|
|
Image Classification (Q)
|
96% |
3119
582.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4385
71.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4956
80.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4794
77.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15093
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18348
21.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
17470
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
3295
261.4 IPS |
|
|
Object Detection (HP)
|
100% |
3442
273.0 IPS |
|
|
Object Detection (Q)
|
92% |
3464
276.5 IPS |
|
|
Face Detection (SP)
|
100% |
7133
84.7 IPS |
|
|
Face Detection (HP)
|
100% |
10726
127.4 IPS |
|
|
Face Detection (Q)
|
100% |
8297
98.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12743
98.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15397
118.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
13939
108.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31157
40.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39098
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
38246
49.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7319
270.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8233
304.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7007
258.7 IPS |
|
|
Text Classification (SP)
|
100% |
3680
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6233
8.32 KIPS |
|
|
Text Classification (Q)
|
93% |
6070
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1227
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1199
20.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1203
20.8 IPS |
