iPhone 16 Pro Max
Geekbench AI Score
4224
Single Precision Score
32191
Half Precision Score
45219
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | SrgntK66 |
| Upload Date | March 06 2025 05:59 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1944
361.5 IPS |
|
|
Image Classification (HP)
|
100% |
15171
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20431
3.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1847
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18200
295.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23867
386.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7907
9.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
137642
160.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
286989
336.4 IPS |
|
|
Object Detection (SP)
|
100% |
1961
155.5 IPS |
|
|
Object Detection (HP)
|
100% |
16492
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
22324
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3300
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
41209
489.7 IPS |
|
|
Face Detection (Q)
|
100% |
58345
693.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7070
54.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
94687
729.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
160344
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
21547
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244043
313.7 IPS |
|
|
Style Transfer (Q)
|
96% |
303775
392.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5037
186.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49577
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82805
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3410
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4278
5.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4295
5.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3763
64.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9442
162.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11321
195.6 IPS |
