iPhone 16 Pro Max
Geekbench AI Score
4853
Single Precision Score
5571
Half Precision Score
5059
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | uch |
| Upload Date | October 09 2025 01:27 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
846
157.4 IPS |
|
|
Image Classification (HP)
|
100% |
964
179.3 IPS |
|
|
Image Classification (Q)
|
96% |
801
149.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4353
70.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4914
79.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3801
61.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15759
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17421
20.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
17119
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
2060
163.4 IPS |
|
|
Object Detection (HP)
|
100% |
1842
146.1 IPS |
|
|
Object Detection (Q)
|
92% |
1605
128.1 IPS |
|
|
Face Detection (SP)
|
100% |
7796
92.6 IPS |
|
|
Face Detection (HP)
|
100% |
10224
121.5 IPS |
|
|
Face Detection (Q)
|
100% |
8378
99.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13905
107.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15109
116.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
14205
110.9 IPS |
|
|
Style Transfer (SP)
|
100% |
33263
42.8 IPS |
|
|
Style Transfer (HP)
|
100% |
40330
51.8 IPS |
|
|
Style Transfer (Q)
|
96% |
38983
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4476
165.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4100
151.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3844
142.0 IPS |
|
|
Text Classification (SP)
|
100% |
3379
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5914
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5899
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1112
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1256
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1250
21.6 IPS |
