iPhone 16 Pro Max
Geekbench AI Score
6002
Single Precision Score
6937
Half Precision Score
6739
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 08 2025 12:54 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2968
552.0 IPS |
|
|
Image Classification (HP)
|
100% |
2315
430.5 IPS |
|
|
Image Classification (Q)
|
96% |
3062
571.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4281
69.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4873
79.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4698
76.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14972
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18005
21.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
17378
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
3065
243.1 IPS |
|
|
Object Detection (HP)
|
100% |
3364
266.8 IPS |
|
|
Object Detection (Q)
|
92% |
3141
250.8 IPS |
|
|
Face Detection (SP)
|
100% |
7423
88.2 IPS |
|
|
Face Detection (HP)
|
100% |
10646
126.5 IPS |
|
|
Face Detection (Q)
|
100% |
8641
102.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13414
103.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15795
121.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
14262
111.4 IPS |
|
|
Style Transfer (SP)
|
100% |
31223
40.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39835
51.2 IPS |
|
|
Style Transfer (Q)
|
96% |
39409
50.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7390
272.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7943
293.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6909
255.1 IPS |
|
|
Text Classification (SP)
|
100% |
3576
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
5906
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5901
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1268
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1202
20.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1244
21.5 IPS |
