iPhone 16 Pro Max
Geekbench AI Score
4659
Single Precision Score
33156
Half Precision Score
45954
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 04:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2066
384.1 IPS |
|
|
Image Classification (HP)
|
100% |
15044
2.80 KIPS |
|
|
Image Classification (Q)
|
97% |
20471
3.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1947
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18342
297.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24158
391.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9143
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
153818
179.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
291990
342.2 IPS |
|
|
Object Detection (SP)
|
100% |
2349
186.3 IPS |
|
|
Object Detection (HP)
|
100% |
16309
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
23099
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
3898
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
41159
489.1 IPS |
|
|
Face Detection (Q)
|
100% |
58402
693.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8328
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95324
734.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
160041
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
20907
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
245644
315.8 IPS |
|
|
Style Transfer (Q)
|
96% |
302020
389.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5743
212.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50911
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84604
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3377
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4569
6.10 KIPS |
|
|
Text Classification (Q)
|
93% |
4522
6.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
4238
73.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10346
178.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11661
201.5 IPS |
