iPhone 16 Pro Max
Geekbench AI Score
4661
Single Precision Score
32939
Half Precision Score
45228
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | iPhonedo |
| Upload Date | March 03 2025 03:23 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2038
379.1 IPS |
|
|
Image Classification (HP)
|
100% |
15338
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
19643
3.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1961
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18133
293.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24049
389.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9532
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
154113
179.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
294045
344.6 IPS |
|
|
Object Detection (SP)
|
100% |
2349
186.3 IPS |
|
|
Object Detection (HP)
|
100% |
16341
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22284
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3911
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
41163
489.1 IPS |
|
|
Face Detection (Q)
|
100% |
59104
702.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8289
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
94825
730.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
161372
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
21031
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244890
314.8 IPS |
|
|
Style Transfer (Q)
|
96% |
303769
392.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5653
208.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50698
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84290
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3415
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4427
5.91 KIPS |
|
|
Text Classification (Q)
|
93% |
4377
5.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4114
70.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10008
172.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10825
187.1 IPS |
