iPhone 16 Pro Max
Geekbench AI Score
2946
Single Precision Score
3516
Half Precision Score
3294
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 07 2025 10:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
3068
570.6 IPS |
|
|
Image Classification (HP)
|
100% |
3029
563.2 IPS |
|
|
Image Classification (Q)
|
96% |
3138
586.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4361
70.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4905
79.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4768
77.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14982
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18323
21.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
17300
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
3135
248.7 IPS |
|
|
Object Detection (HP)
|
100% |
3400
269.7 IPS |
|
|
Object Detection (Q)
|
92% |
3200
255.4 IPS |
|
|
Face Detection (SP)
|
100% |
7079
84.1 IPS |
|
|
Face Detection (HP)
|
100% |
10502
124.8 IPS |
|
|
Face Detection (Q)
|
100% |
8192
97.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13048
100.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15238
117.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
13718
107.1 IPS |
|
|
Style Transfer (SP)
|
100% |
31164
40.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39342
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
38712
50.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7423
274.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8178
302.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6934
256.0 IPS |
|
|
Text Classification (SP)
|
100% |
3670
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
6070
8.10 KIPS |
|
|
Text Classification (Q)
|
93% |
6033
8.10 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
9.80 IPS |
|
|
Machine Translation (HP)
|
0% |
0
10.3 IPS |
|
|
Machine Translation (Q)
|
0% |
0
8.88 IPS |
