iPhone 16 Pro Max
Geekbench AI Score
4383
Single Precision Score
7516
Half Precision Score
5944
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Kiruno |
| Upload Date | March 25 2025 01:05 PM |
| Views | 26 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2062
383.4 IPS |
|
|
Image Classification (HP)
|
100% |
3391
630.7 IPS |
|
|
Image Classification (Q)
|
96% |
2257
421.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1852
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2764
44.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3198
51.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8362
9.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
16713
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14232
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2215
175.7 IPS |
|
|
Object Detection (HP)
|
97% |
3704
294.9 IPS |
|
|
Object Detection (Q)
|
94% |
2547
203.0 IPS |
|
|
Face Detection (SP)
|
100% |
3688
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
7128
84.7 IPS |
|
|
Face Detection (Q)
|
100% |
3938
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7595
58.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13130
101.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9137
71.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18675
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34925
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28801
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5014
185.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7194
265.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4831
178.4 IPS |
|
|
Text Classification (SP)
|
100% |
3372
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5850
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5813
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4191
72.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7214
124.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7231
125.0 IPS |
