iPhone 16 Pro Max
Geekbench AI Score
4536
Single Precision Score
7702
Half Precision Score
6107
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 02 2025 02:28 AM |
| 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% |
2062
383.4 IPS |
|
|
Image Classification (HP)
|
100% |
3387
629.8 IPS |
|
|
Image Classification (Q)
|
96% |
2267
423.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1964
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2844
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3300
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9038
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17947
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15041
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2290
181.6 IPS |
|
|
Object Detection (HP)
|
97% |
3719
296.1 IPS |
|
|
Object Detection (Q)
|
94% |
2600
207.2 IPS |
|
|
Face Detection (SP)
|
100% |
3794
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
7236
86.0 IPS |
|
|
Face Detection (Q)
|
100% |
4062
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7908
60.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13944
107.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9534
74.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19810
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36124
46.4 IPS |
|
|
Style Transfer (Q)
|
96% |
29528
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5219
192.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7193
265.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5098
188.2 IPS |
|
|
Text Classification (SP)
|
100% |
3372
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
6031
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5843
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4210
72.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7229
124.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7248
125.3 IPS |
