iPhone 16 Pro Max
Geekbench AI Score
4412
Single Precision Score
7545
Half Precision Score
5954
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 02 2025 11:38 AM |
| Views | 3 |
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% |
2067
384.4 IPS |
|
|
Image Classification (HP)
|
100% |
3401
632.4 IPS |
|
|
Image Classification (Q)
|
96% |
2274
424.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1911
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2808
45.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3258
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8533
9.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
17130
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14116
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
2212
175.4 IPS |
|
|
Object Detection (HP)
|
97% |
3704
294.9 IPS |
|
|
Object Detection (Q)
|
94% |
2535
202.1 IPS |
|
|
Face Detection (SP)
|
100% |
3686
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
7189
85.4 IPS |
|
|
Face Detection (Q)
|
100% |
3942
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7690
59.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13155
101.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9067
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18881
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35480
45.6 IPS |
|
|
Style Transfer (Q)
|
96% |
29130
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4988
184.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7160
264.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4952
182.8 IPS |
|
|
Text Classification (SP)
|
100% |
3392
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5901
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5908
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
4146
71.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6968
120.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6943
120.0 IPS |
