iPhone 16 Pro Max
Geekbench AI Score
6039
Single Precision Score
6764
Half Precision Score
6683
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 05 2025 06:52 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
2827
525.7 IPS |
|
|
Image Classification (HP)
|
100% |
2077
386.2 IPS |
|
|
Image Classification (Q)
|
96% |
3003
560.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4462
72.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4915
79.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4750
77.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15613
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16986
19.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
16970
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
3179
252.2 IPS |
|
|
Object Detection (HP)
|
100% |
3422
271.5 IPS |
|
|
Object Detection (Q)
|
92% |
3134
250.1 IPS |
|
|
Face Detection (SP)
|
100% |
7526
89.4 IPS |
|
|
Face Detection (HP)
|
100% |
10808
128.4 IPS |
|
|
Face Detection (Q)
|
100% |
8578
101.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13756
106.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14977
115.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
14151
110.5 IPS |
|
|
Style Transfer (SP)
|
100% |
33010
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37997
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
38418
49.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7884
291.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8133
300.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7397
273.2 IPS |
|
|
Text Classification (SP)
|
100% |
3323
4.43 KIPS |
|
|
Text Classification (HP)
|
100% |
5707
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5689
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1151
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1184
20.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1194
20.6 IPS |
