iPhone 16 Pro Max
Geekbench AI Score
4830
Single Precision Score
5295
Half Precision Score
5223
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | tboneuk1691 |
| Upload Date | March 24 2025 02:03 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
912
169.7 IPS |
|
|
Image Classification (HP)
|
100% |
910
169.3 IPS |
|
|
Image Classification (Q)
|
96% |
994
185.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3969
64.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3746
60.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4723
76.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15387
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16401
19.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
15845
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2066
163.9 IPS |
|
|
Object Detection (HP)
|
100% |
1788
141.9 IPS |
|
|
Object Detection (Q)
|
92% |
1724
137.6 IPS |
|
|
Face Detection (SP)
|
100% |
7648
90.9 IPS |
|
|
Face Detection (HP)
|
100% |
10179
120.9 IPS |
|
|
Face Detection (Q)
|
100% |
8521
101.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13583
104.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14156
109.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
13693
107.1 IPS |
|
|
Style Transfer (SP)
|
100% |
32820
42.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39031
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
36908
47.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4581
169.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4225
156.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3782
139.7 IPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5885
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5847
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1125
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1241
21.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1238
21.4 IPS |
