iPhone 16 Pro Max
Geekbench AI Score
6151
Single Precision Score
6977
Half Precision Score
6657
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Kiruno |
| Upload Date | April 05 2025 06:35 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2936
546.1 IPS |
|
|
Image Classification (HP)
|
100% |
2555
475.2 IPS |
|
|
Image Classification (Q)
|
96% |
3016
563.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4381
71.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4864
78.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4702
76.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15568
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16396
19.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
16033
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
3342
265.1 IPS |
|
|
Object Detection (HP)
|
100% |
3430
272.0 IPS |
|
|
Object Detection (Q)
|
92% |
3104
247.8 IPS |
|
|
Face Detection (SP)
|
100% |
7920
94.1 IPS |
|
|
Face Detection (HP)
|
100% |
10887
129.4 IPS |
|
|
Face Detection (Q)
|
100% |
8663
102.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
14009
107.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15145
116.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
13193
103.2 IPS |
|
|
Style Transfer (SP)
|
100% |
32605
41.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38687
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
38232
49.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8000
295.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8286
306.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7518
277.6 IPS |
|
|
Text Classification (SP)
|
100% |
3388
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5864
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5830
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1183
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1263
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1265
21.9 IPS |
