iPhone 16 Pro Max
Geekbench AI Score
4408
Single Precision Score
7569
Half Precision Score
6076
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 08:37 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% |
2001
372.2 IPS |
|
|
Image Classification (HP)
|
100% |
3282
610.3 IPS |
|
|
Image Classification (Q)
|
96% |
2275
424.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1910
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2899
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3358
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8479
9.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
17204
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14695
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2074
164.5 IPS |
|
|
Object Detection (HP)
|
97% |
3736
297.4 IPS |
|
|
Object Detection (Q)
|
94% |
2635
210.0 IPS |
|
|
Face Detection (SP)
|
100% |
3487
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
7335
87.2 IPS |
|
|
Face Detection (Q)
|
100% |
4060
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7428
57.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13556
104.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9573
74.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23151
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
36192
46.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29885
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5351
197.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6850
252.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4900
180.9 IPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5875
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5816
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3758
64.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6974
120.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7015
121.2 IPS |
