iPhone 16 Pro Max - 2025_0515 iPhone 16 Pro Max
Geekbench AI Score
4469
Single Precision Score
33175
Half Precision Score
46096
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Barritz |
| Upload Date | May 16 2025 02:58 AM |
| Views | 9 |
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% |
2027
377.0 IPS |
|
|
Image Classification (HP)
|
100% |
15396
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
20793
3.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1954
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18312
296.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24108
390.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8366
9.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
147794
172.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
291117
341.2 IPS |
|
|
Object Detection (SP)
|
100% |
2295
182.0 IPS |
|
|
Object Detection (HP)
|
100% |
16484
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
22580
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3836
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
41249
490.1 IPS |
|
|
Face Detection (Q)
|
100% |
58236
692.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8011
61.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95016
732.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
159425
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
19063
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
245151
315.1 IPS |
|
|
Style Transfer (Q)
|
96% |
304685
393.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5071
187.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51390
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85328
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3369
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4702
6.28 KIPS |
|
|
Text Classification (Q)
|
93% |
4783
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4182
72.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10128
174.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11387
196.8 IPS |
