iPhone 16 Pro Max
Geekbench AI Score
5947
Single Precision Score
6977
Half Precision Score
6685
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 10:07 AM |
| Views | 2 |
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% |
3075
571.8 IPS |
|
|
Image Classification (HP)
|
100% |
2308
429.3 IPS |
|
|
Image Classification (Q)
|
96% |
2979
556.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4362
70.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4923
79.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4771
77.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14955
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18163
21.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
17601
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
3087
244.9 IPS |
|
|
Object Detection (HP)
|
100% |
3452
273.8 IPS |
|
|
Object Detection (Q)
|
92% |
3173
253.3 IPS |
|
|
Face Detection (SP)
|
100% |
7449
88.5 IPS |
|
|
Face Detection (HP)
|
100% |
10950
130.1 IPS |
|
|
Face Detection (Q)
|
100% |
8394
99.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13351
102.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15934
122.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
13832
108.0 IPS |
|
|
Style Transfer (SP)
|
100% |
31652
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
40579
52.2 IPS |
|
|
Style Transfer (Q)
|
96% |
39523
51.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7468
275.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8048
297.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7250
267.7 IPS |
|
|
Text Classification (SP)
|
100% |
3365
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5840
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5801
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1130
19.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1154
19.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1165
20.1 IPS |
