iPhone 16 Pro Max
Geekbench AI Score
5973
Single Precision Score
7122
Half Precision Score
6791
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 07:35 PM |
| 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% |
2941
546.8 IPS |
|
|
Image Classification (HP)
|
100% |
2699
501.9 IPS |
|
|
Image Classification (Q)
|
96% |
3134
585.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4325
70.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4951
80.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4744
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14990
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18122
21.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
17430
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
3059
242.7 IPS |
|
|
Object Detection (HP)
|
100% |
3726
295.5 IPS |
|
|
Object Detection (Q)
|
92% |
3457
276.0 IPS |
|
|
Face Detection (SP)
|
100% |
7034
83.6 IPS |
|
|
Face Detection (HP)
|
100% |
10452
124.2 IPS |
|
|
Face Detection (Q)
|
100% |
8460
100.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12849
99.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15184
117.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
14018
109.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30913
39.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38907
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
38737
50.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7442
274.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8270
305.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7070
261.1 IPS |
|
|
Text Classification (SP)
|
100% |
3743
5.00 KIPS |
|
|
Text Classification (HP)
|
99% |
6088
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6050
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1275
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1197
20.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1186
20.5 IPS |
