iPhone 16 Pro Max
Geekbench AI Score
5890
Single Precision Score
7067
Half Precision Score
6617
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Ksyrium |
| Upload Date | August 18 2025 06:36 PM |
| Views | 9 |
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% |
3007
559.3 IPS |
|
|
Image Classification (HP)
|
100% |
2921
543.3 IPS |
|
|
Image Classification (Q)
|
96% |
2996
559.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4263
69.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4896
79.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4736
76.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14774
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18053
21.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
17245
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
3049
241.9 IPS |
|
|
Object Detection (HP)
|
100% |
3381
268.2 IPS |
|
|
Object Detection (Q)
|
92% |
3177
253.6 IPS |
|
|
Face Detection (SP)
|
100% |
6798
80.8 IPS |
|
|
Face Detection (HP)
|
100% |
10278
122.1 IPS |
|
|
Face Detection (Q)
|
100% |
7926
94.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12779
98.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15088
116.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
13900
108.6 IPS |
|
|
Style Transfer (SP)
|
100% |
31075
39.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38995
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
38611
49.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7372
272.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8086
298.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6864
253.4 IPS |
|
|
Text Classification (SP)
|
100% |
3717
4.96 KIPS |
|
|
Text Classification (HP)
|
99% |
6180
8.25 KIPS |
|
|
Text Classification (Q)
|
93% |
6092
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1178
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1179
20.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1165
20.1 IPS |
