iPhone 16 Pro Max
Geekbench AI Score
4626
Single Precision Score
7833
Half Precision Score
6226
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Tom34772 |
| Upload Date | April 11 2025 12:42 AM |
| Views | 4 |
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% |
2074
385.7 IPS |
|
|
Image Classification (HP)
|
100% |
3375
627.6 IPS |
|
|
Image Classification (Q)
|
96% |
2287
427.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1986
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2872
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3348
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9269
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18317
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15470
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2318
183.8 IPS |
|
|
Object Detection (HP)
|
97% |
3794
302.1 IPS |
|
|
Object Detection (Q)
|
94% |
2641
210.5 IPS |
|
|
Face Detection (SP)
|
100% |
3896
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
7468
88.7 IPS |
|
|
Face Detection (Q)
|
100% |
4180
49.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8166
62.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14360
111.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9772
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20278
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37746
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30724
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5463
201.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7276
268.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5091
188.0 IPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
6006
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5999
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
4211
72.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7305
126.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7299
126.1 IPS |
