iPhone 16 Pro Max
Geekbench AI Score
4408
Single Precision Score
7538
Half Precision Score
6005
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Kiruno |
| Upload Date | April 05 2025 06:36 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1991
370.2 IPS |
|
|
Image Classification (HP)
|
100% |
3367
626.2 IPS |
|
|
Image Classification (Q)
|
96% |
2273
424.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1924
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2824
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3237
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8474
9.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
16695
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14238
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2230
176.9 IPS |
|
|
Object Detection (HP)
|
97% |
3639
289.7 IPS |
|
|
Object Detection (Q)
|
94% |
2558
203.9 IPS |
|
|
Face Detection (SP)
|
100% |
3719
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
7225
85.9 IPS |
|
|
Face Detection (Q)
|
100% |
3923
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7684
59.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13253
102.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9276
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18851
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35888
46.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29252
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5031
185.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7045
260.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5014
185.2 IPS |
|
|
Text Classification (SP)
|
100% |
3386
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5864
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5859
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4177
72.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7225
124.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7279
125.8 IPS |
