iPhone 16 Pro Max
Geekbench AI Score
4431
Single Precision Score
7650
Half Precision Score
6092
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 07:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2013
374.4 IPS |
|
|
Image Classification (HP)
|
100% |
3310
615.5 IPS |
|
|
Image Classification (Q)
|
96% |
2272
424.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1938
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3000
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3360
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8542
9.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
17497
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14976
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2098
166.4 IPS |
|
|
Object Detection (HP)
|
97% |
3774
300.4 IPS |
|
|
Object Detection (Q)
|
94% |
2623
209.1 IPS |
|
|
Face Detection (SP)
|
100% |
3510
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
7337
87.2 IPS |
|
|
Face Detection (Q)
|
100% |
4130
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7483
57.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13829
106.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9590
74.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23308
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36476
46.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29503
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5358
197.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6909
255.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4778
176.4 IPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5846
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
6005
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3727
64.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7010
121.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7011
121.2 IPS |
