iPhone 16 Pro Max
Geekbench AI Score
4481
Single Precision Score
33022
Half Precision Score
46215
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 21 2024 11:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2017
375.1 IPS |
|
|
Image Classification (HP)
|
100% |
15251
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20988
3.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1940
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18308
296.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24116
390.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8667
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
154049
179.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
293266
343.7 IPS |
|
|
Object Detection (SP)
|
100% |
2128
168.8 IPS |
|
|
Object Detection (HP)
|
100% |
16511
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
23193
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
3579
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
41361
491.5 IPS |
|
|
Face Detection (Q)
|
100% |
58094
690.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7622
58.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
96013
739.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
165550
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
23333
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
245367
315.4 IPS |
|
|
Style Transfer (Q)
|
96% |
303956
392.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5545
204.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49726
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85137
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4862
6.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4542
6.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3752
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9216
158.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11422
197.4 IPS |
