iPhone 16 Pro Max
Geekbench AI Score
4563
Single Precision Score
33027
Half Precision Score
44506
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 12 2025 11:00 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1985
369.2 IPS |
|
|
Image Classification (HP)
|
100% |
13972
2.60 KIPS |
|
|
Image Classification (Q)
|
97% |
18291
3.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1752
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18144
294.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23609
382.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9065
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
151624
176.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
288044
337.6 IPS |
|
|
Object Detection (SP)
|
100% |
2353
186.6 IPS |
|
|
Object Detection (HP)
|
100% |
15651
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21631
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
3652
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
39435
468.6 IPS |
|
|
Face Detection (Q)
|
100% |
52414
622.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8169
62.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
93731
722.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
150127
1.17 KIPS |
|
|
Style Transfer (SP)
|
100% |
21993
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
244684
314.5 IPS |
|
|
Style Transfer (Q)
|
96% |
294630
380.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5345
197.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51062
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78957
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
3689
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6151
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6149
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4081
70.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9036
155.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10069
174.0 IPS |
