iPhone 16 Pro Max
Geekbench AI Score
4545
Single Precision Score
33244
Half Precision Score
46777
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | khodaparastan |
| Upload Date | April 28 2025 08:32 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1981
368.4 IPS |
|
|
Image Classification (HP)
|
100% |
15281
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20509
3.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1932
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18302
296.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24017
389.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9094
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
152983
178.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
293755
344.3 IPS |
|
|
Object Detection (SP)
|
100% |
2146
170.2 IPS |
|
|
Object Detection (HP)
|
100% |
16338
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22914
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3611
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
41977
498.8 IPS |
|
|
Face Detection (Q)
|
100% |
58842
699.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7900
60.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95132
732.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
161823
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24045
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
246013
316.3 IPS |
|
|
Style Transfer (Q)
|
96% |
306083
395.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5654
208.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51071
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87611
3.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3437
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5018
6.70 KIPS |
|
|
Text Classification (Q)
|
93% |
5186
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3785
65.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9368
161.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11426
197.4 IPS |
