iPhone 16 Pro Max
Geekbench AI Score
4807
Single Precision Score
5555
Half Precision Score
5160
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | edsonchan |
| Upload Date | May 23 2025 07:24 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
853
158.7 IPS |
|
|
Image Classification (HP)
|
100% |
894
166.3 IPS |
|
|
Image Classification (Q)
|
96% |
942
175.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4351
70.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5037
81.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3910
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15732
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17345
20.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
17313
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
2116
167.9 IPS |
|
|
Object Detection (HP)
|
100% |
1821
144.5 IPS |
|
|
Object Detection (Q)
|
92% |
1582
126.3 IPS |
|
|
Face Detection (SP)
|
100% |
7573
90.0 IPS |
|
|
Face Detection (HP)
|
100% |
10358
123.1 IPS |
|
|
Face Detection (Q)
|
100% |
8525
101.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13490
103.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15727
121.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
14284
111.6 IPS |
|
|
Style Transfer (SP)
|
100% |
32950
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
40655
52.3 IPS |
|
|
Style Transfer (Q)
|
96% |
39457
50.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4203
155.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3999
147.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3798
140.2 IPS |
|
|
Text Classification (SP)
|
100% |
3380
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5919
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5831
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1117
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1257
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1247
21.6 IPS |
