iPhone 16 Pro Max
Geekbench AI Score
4824
Single Precision Score
5370
Half Precision Score
5028
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | July 22 2025 09:34 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
846
157.4 IPS |
|
|
Image Classification (HP)
|
100% |
885
164.6 IPS |
|
|
Image Classification (Q)
|
96% |
827
154.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4466
72.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3774
61.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3842
62.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15659
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17021
19.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
17047
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
2019
160.2 IPS |
|
|
Object Detection (HP)
|
100% |
1814
143.9 IPS |
|
|
Object Detection (Q)
|
92% |
1481
118.2 IPS |
|
|
Face Detection (SP)
|
100% |
7819
92.9 IPS |
|
|
Face Detection (HP)
|
100% |
10277
122.1 IPS |
|
|
Face Detection (Q)
|
100% |
8653
102.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13572
104.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
15075
116.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
14515
113.4 IPS |
|
|
Style Transfer (SP)
|
100% |
33430
43.0 IPS |
|
|
Style Transfer (HP)
|
100% |
40585
52.2 IPS |
|
|
Style Transfer (Q)
|
96% |
38138
49.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4406
162.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4171
154.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3679
135.9 IPS |
|
|
Text Classification (SP)
|
100% |
3397
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5947
7.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5948
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1076
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1241
21.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1230
21.2 IPS |
