iPhone 16 Pro Max
Geekbench AI Score
6105
Single Precision Score
7073
Half Precision Score
6409
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | rydawg |
| Upload Date | June 11 2025 01:28 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
3113
578.9 IPS |
|
|
Image Classification (HP)
|
100% |
2818
524.1 IPS |
|
|
Image Classification (Q)
|
96% |
1932
360.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4367
70.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4906
79.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4721
76.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15462
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16911
19.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
16708
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
3145
249.5 IPS |
|
|
Object Detection (HP)
|
100% |
3675
291.5 IPS |
|
|
Object Detection (Q)
|
92% |
3137
250.4 IPS |
|
|
Face Detection (SP)
|
100% |
7579
90.0 IPS |
|
|
Face Detection (HP)
|
100% |
10615
126.1 IPS |
|
|
Face Detection (Q)
|
100% |
8163
97.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13372
103.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14814
114.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
13830
108.0 IPS |
|
|
Style Transfer (SP)
|
100% |
32575
41.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38296
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
38635
49.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8050
297.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8188
302.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7395
273.0 IPS |
|
|
Text Classification (SP)
|
100% |
3373
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5899
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5997
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1214
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1255
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1266
21.9 IPS |
