iPhone 16 Pro Max
Geekbench AI Score
4667
Single Precision Score
33069
Half Precision Score
45777
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 12 2025 05:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
2060
383.1 IPS |
|
|
Image Classification (HP)
|
100% |
15180
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20301
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1990
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18309
296.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24174
391.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9312
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
151457
176.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
292071
342.3 IPS |
|
|
Object Detection (SP)
|
100% |
2346
186.1 IPS |
|
|
Object Detection (HP)
|
100% |
16308
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22747
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3905
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
40630
482.8 IPS |
|
|
Face Detection (Q)
|
100% |
57040
677.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8396
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95423
735.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
160857
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
20595
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
245492
315.6 IPS |
|
|
Style Transfer (Q)
|
96% |
303231
391.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5628
207.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50884
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84335
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3394
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4596
6.13 KIPS |
|
|
Text Classification (Q)
|
93% |
4509
6.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
4251
73.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10238
176.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11716
202.5 IPS |
