iPhone 16 Pro Max
Geekbench AI Score
4416
Single Precision Score
7515
Half Precision Score
6001
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | davidofun |
| Upload Date | September 03 2025 02:26 AM |
| Views | 9 |
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% |
2047
380.7 IPS |
|
|
Image Classification (HP)
|
100% |
3377
628.0 IPS |
|
|
Image Classification (Q)
|
96% |
2260
422.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1906
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2824
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3177
51.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8404
9.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
15283
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14338
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2230
176.9 IPS |
|
|
Object Detection (HP)
|
97% |
3659
291.3 IPS |
|
|
Object Detection (Q)
|
94% |
2565
204.5 IPS |
|
|
Face Detection (SP)
|
100% |
3733
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
7232
85.9 IPS |
|
|
Face Detection (Q)
|
100% |
4010
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7788
60.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13469
104.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9367
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18933
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36420
46.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29257
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5058
186.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7137
263.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5030
185.7 IPS |
|
|
Text Classification (SP)
|
100% |
3424
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
6054
8.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5930
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
4055
69.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7037
121.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6998
120.9 IPS |
