iPhone 16 Pro Max
Geekbench AI Score
4678
Single Precision Score
33370
Half Precision Score
46381
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | RobertRgs |
| Upload Date | October 06 2025 01:27 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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% |
2056
382.3 IPS |
|
|
Image Classification (HP)
|
100% |
15199
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20470
3.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1976
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18318
297.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23950
388.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9471
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
153129
178.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
292705
343.1 IPS |
|
|
Object Detection (SP)
|
100% |
2362
187.3 IPS |
|
|
Object Detection (HP)
|
100% |
16209
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22616
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3952
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
41179
489.3 IPS |
|
|
Face Detection (Q)
|
100% |
58695
697.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8402
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95372
734.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
161574
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
20911
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
245526
315.6 IPS |
|
|
Style Transfer (Q)
|
96% |
304318
392.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5556
205.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51440
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86050
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3396
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4932
6.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5043
6.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4220
72.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10131
174.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11336
195.9 IPS |
