iPhone 16 Pro Max
Geekbench AI Score
4487
Single Precision Score
7672
Half Precision Score
6082
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | dwc22 |
| Upload Date | August 22 2025 11:30 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2049
381.1 IPS |
|
|
Image Classification (HP)
|
100% |
3393
631.0 IPS |
|
|
Image Classification (Q)
|
96% |
2266
423.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1940
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2829
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3312
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8937
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17239
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14772
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2256
179.0 IPS |
|
|
Object Detection (HP)
|
97% |
3721
296.3 IPS |
|
|
Object Detection (Q)
|
94% |
2566
204.6 IPS |
|
|
Face Detection (SP)
|
100% |
3756
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
7232
85.9 IPS |
|
|
Face Detection (Q)
|
100% |
4034
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7923
61.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13825
106.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9358
73.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19362
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35985
46.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29646
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5111
188.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7279
268.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5056
186.7 IPS |
|
|
Text Classification (SP)
|
100% |
3393
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
6076
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5879
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4136
71.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7212
124.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7328
126.6 IPS |
