iPhone 16 Pro Max
Geekbench AI Score
4575
Single Precision Score
7795
Half Precision Score
6237
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ak2wqkRoCBmBvqKVw |
| Upload Date | February 05 2025 02:29 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2015
374.7 IPS |
|
|
Image Classification (HP)
|
100% |
3394
631.2 IPS |
|
|
Image Classification (Q)
|
96% |
2282
426.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1942
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2922
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3372
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9237
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18772
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15792
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2159
171.3 IPS |
|
|
Object Detection (HP)
|
97% |
3840
305.7 IPS |
|
|
Object Detection (Q)
|
94% |
2673
213.0 IPS |
|
|
Face Detection (SP)
|
100% |
3591
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
7548
89.7 IPS |
|
|
Face Detection (Q)
|
100% |
4287
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7856
60.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14233
110.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9976
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24288
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37652
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31196
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5737
211.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6957
256.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4997
184.5 IPS |
|
|
Text Classification (SP)
|
100% |
3429
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5862
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5817
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3824
65.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7024
121.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7072
122.2 IPS |
