iPhone 16 Pro Max
Geekbench AI Score
4546
Single Precision Score
32944
Half Precision Score
45740
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Betancd |
| Upload Date | March 05 2025 05:05 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1986
369.3 IPS |
|
|
Image Classification (HP)
|
100% |
15116
2.81 KIPS |
|
|
Image Classification (Q)
|
97% |
19788
3.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1928
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18351
297.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24089
390.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9085
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
153705
179.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
293158
343.6 IPS |
|
|
Object Detection (SP)
|
100% |
2170
172.2 IPS |
|
|
Object Detection (HP)
|
100% |
16203
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22417
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3587
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
41105
488.4 IPS |
|
|
Face Detection (Q)
|
100% |
57488
683.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7931
61.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95004
731.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
159705
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
23873
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
245179
315.2 IPS |
|
|
Style Transfer (Q)
|
96% |
300729
388.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5663
209.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50500
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83890
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3468
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4777
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4928
6.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3747
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9438
162.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11212
193.8 IPS |
