iPhone 16 Pro Max
Geekbench AI Score
4614
Single Precision Score
7841
Half Precision Score
6245
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 10 2025 12:55 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2079
386.6 IPS |
|
|
Image Classification (HP)
|
100% |
3402
632.7 IPS |
|
|
Image Classification (Q)
|
96% |
2279
425.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1987
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2870
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3350
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9355
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18405
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15571
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2316
183.7 IPS |
|
|
Object Detection (HP)
|
97% |
3794
302.0 IPS |
|
|
Object Detection (Q)
|
94% |
2664
212.4 IPS |
|
|
Face Detection (SP)
|
100% |
3862
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
7462
88.7 IPS |
|
|
Face Detection (Q)
|
100% |
4162
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8132
62.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14414
111.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9854
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20072
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37666
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30782
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5408
199.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7323
270.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5152
190.3 IPS |
|
|
Text Classification (SP)
|
100% |
3371
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5881
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5954
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
4256
73.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7390
127.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7358
127.2 IPS |
