iPhone 16 Pro Max
Geekbench AI Score
4580
Single Precision Score
33155
Half Precision Score
45284
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 07 2025 12:57 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% |
1992
370.5 IPS |
|
|
Image Classification (HP)
|
100% |
14956
2.78 KIPS |
|
|
Image Classification (Q)
|
97% |
20013
3.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1932
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18130
293.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23840
386.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9085
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
154833
180.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
293048
343.5 IPS |
|
|
Object Detection (SP)
|
100% |
2191
173.8 IPS |
|
|
Object Detection (HP)
|
100% |
16128
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22185
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
3622
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
41269
490.4 IPS |
|
|
Face Detection (Q)
|
100% |
56572
672.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8016
61.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95011
732.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
159949
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24411
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
246041
316.3 IPS |
|
|
Style Transfer (Q)
|
96% |
300339
387.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5737
211.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50358
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83158
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4904
6.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4552
6.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3816
65.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9951
171.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11366
196.4 IPS |
