iPhone 16 Pro Max
Geekbench AI Score
4422
Single Precision Score
7601
Half Precision Score
5960
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | RunBoris |
| Upload Date | July 01 2025 05:17 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2064
383.9 IPS |
|
|
Image Classification (HP)
|
100% |
3385
629.5 IPS |
|
|
Image Classification (Q)
|
96% |
2278
425.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1957
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2868
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3228
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8493
9.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
16518
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14288
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2207
175.1 IPS |
|
|
Object Detection (HP)
|
97% |
3664
291.7 IPS |
|
|
Object Detection (Q)
|
94% |
2520
200.8 IPS |
|
|
Face Detection (SP)
|
100% |
3702
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
7253
86.2 IPS |
|
|
Face Detection (Q)
|
100% |
3933
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7644
58.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13427
103.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9040
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18766
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35531
45.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28690
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5013
185.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7287
269.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4981
183.9 IPS |
|
|
Text Classification (SP)
|
100% |
3386
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5960
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5862
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4194
72.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7292
126.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7172
123.9 IPS |
