iPhone 16 Pro Max
Geekbench AI Score
4124
Single Precision Score
7114
Half Precision Score
5689
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 13 2025 11:07 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1940
360.7 IPS |
|
|
Image Classification (HP)
|
100% |
3360
624.9 IPS |
|
|
Image Classification (Q)
|
96% |
2251
420.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1691
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2694
43.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3089
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8083
9.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
16100
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13572
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
2113
167.6 IPS |
|
|
Object Detection (HP)
|
97% |
3431
273.2 IPS |
|
|
Object Detection (Q)
|
94% |
2427
193.5 IPS |
|
|
Face Detection (SP)
|
100% |
3333
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
6312
75.0 IPS |
|
|
Face Detection (Q)
|
100% |
3628
43.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7069
54.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
12428
96.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
8454
66.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18938
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33292
42.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26929
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4697
173.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6799
251.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4647
171.6 IPS |
|
|
Text Classification (SP)
|
100% |
3361
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5790
7.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5966
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3609
62.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6459
111.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6774
117.1 IPS |
