iPhone 16 Pro Max
Geekbench AI Score
5786
Single Precision Score
6873
Half Precision Score
6515
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 12 2025 12:06 AM |
| Views | 1 |
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% |
2794
519.6 IPS |
|
|
Image Classification (HP)
|
100% |
2408
447.8 IPS |
|
|
Image Classification (Q)
|
96% |
2917
544.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4226
68.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4876
79.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4699
76.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14838
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17840
20.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
17129
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3021
239.6 IPS |
|
|
Object Detection (HP)
|
100% |
3340
264.9 IPS |
|
|
Object Detection (Q)
|
92% |
3121
249.1 IPS |
|
|
Face Detection (SP)
|
100% |
7107
84.5 IPS |
|
|
Face Detection (HP)
|
100% |
10283
122.2 IPS |
|
|
Face Detection (Q)
|
100% |
8000
95.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12841
98.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15332
118.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
13434
104.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30643
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38692
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
38373
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7265
268.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7882
291.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6764
249.8 IPS |
|
|
Text Classification (SP)
|
100% |
3574
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
5873
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5861
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1096
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1192
20.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1150
19.9 IPS |
