iPhone 16 Pro Max
Geekbench AI Score
4453
Single Precision Score
7756
Half Precision Score
6189
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 06:38 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% |
1984
369.0 IPS |
|
|
Image Classification (HP)
|
100% |
3369
626.6 IPS |
|
|
Image Classification (Q)
|
96% |
2264
422.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1778
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2886
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3360
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8884
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18323
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15363
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2139
169.6 IPS |
|
|
Object Detection (HP)
|
97% |
3787
301.5 IPS |
|
|
Object Detection (Q)
|
94% |
2661
212.1 IPS |
|
|
Face Detection (SP)
|
100% |
3500
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
7357
87.4 IPS |
|
|
Face Detection (Q)
|
100% |
4192
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7698
59.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14280
110.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9887
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23992
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37958
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30397
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5521
203.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6914
255.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4966
183.4 IPS |
|
|
Text Classification (SP)
|
100% |
3488
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
6058
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
6116
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3675
63.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6995
120.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6936
119.9 IPS |
