iPhone 16 Pro Max
Geekbench AI Score
4348
Single Precision Score
32985
Half Precision Score
46416
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 27 2024 09:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1974
367.1 IPS |
|
|
Image Classification (HP)
|
100% |
15232
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
21102
3.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1891
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18355
297.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24196
392.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8182
9.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
146722
171.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
292707
343.1 IPS |
|
|
Object Detection (SP)
|
100% |
2081
165.0 IPS |
|
|
Object Detection (HP)
|
100% |
16352
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22886
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3422
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
41096
488.3 IPS |
|
|
Face Detection (Q)
|
100% |
58485
694.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7439
57.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95597
736.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
163010
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
22714
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
246219
316.5 IPS |
|
|
Style Transfer (Q)
|
96% |
303434
391.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5086
187.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50870
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84459
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3436
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4763
6.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4852
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3768
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9699
167.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11448
197.8 IPS |
