iPhone 16 Pro Max
Geekbench AI Score
5757
Single Precision Score
6597
Half Precision Score
6074
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Lee449409 |
| Upload Date | December 03 2024 03:25 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2909
541.1 IPS |
|
|
Image Classification (HP)
|
100% |
2067
384.4 IPS |
|
|
Image Classification (Q)
|
97% |
2788
520.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3357
54.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4382
71.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4380
71.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15683
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16430
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15676
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
3178
252.1 IPS |
|
|
Object Detection (HP)
|
100% |
3470
275.2 IPS |
|
|
Object Detection (Q)
|
91% |
3107
248.3 IPS |
|
|
Face Detection (SP)
|
100% |
7943
94.4 IPS |
|
|
Face Detection (HP)
|
100% |
10997
130.7 IPS |
|
|
Face Detection (Q)
|
100% |
7644
90.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13965
107.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
15231
117.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
12934
101.1 IPS |
|
|
Style Transfer (SP)
|
100% |
32316
41.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38242
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
36797
47.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7962
294.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8400
310.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6736
248.7 IPS |
|
|
Text Classification (SP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5885
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5869
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
841
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
955
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
800
13.8 IPS |
