iPhone 16 Pro Max
Geekbench AI Score
4468
Single Precision Score
32497
Half Precision Score
42816
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 01:07 PM |
| Views | 1 |
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% |
2074
385.8 IPS |
|
|
Image Classification (HP)
|
100% |
15169
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
21386
3.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1831
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18264
296.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24062
390.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8893
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
150284
175.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
290697
340.7 IPS |
|
|
Object Detection (SP)
|
100% |
2306
182.9 IPS |
|
|
Object Detection (HP)
|
100% |
16089
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22270
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3679
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
41112
488.5 IPS |
|
|
Face Detection (Q)
|
100% |
57128
678.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7885
60.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95294
734.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
160662
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
18763
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245389
315.5 IPS |
|
|
Style Transfer (Q)
|
96% |
303620
391.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5286
195.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50512
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83751
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3379
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4019
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
2460
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4195
72.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10049
173.1 IPS |
|
|
Machine Translation (Q)
|
98% |
10825
187.1 IPS |
