iPhone 16 Pro Max
Geekbench AI Score
4404
Single Precision Score
7349
Half Precision Score
6000
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 09:58 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1957
363.9 IPS |
|
|
Image Classification (HP)
|
100% |
3414
635.0 IPS |
|
|
Image Classification (Q)
|
96% |
2292
428.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1710
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2234
36.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3196
51.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8393
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
16589
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14087
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
2246
178.2 IPS |
|
|
Object Detection (HP)
|
97% |
3663
291.6 IPS |
|
|
Object Detection (Q)
|
94% |
2583
205.9 IPS |
|
|
Face Detection (SP)
|
100% |
3431
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
6633
78.8 IPS |
|
|
Face Detection (Q)
|
100% |
3850
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7823
60.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13317
102.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9289
72.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20729
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35706
45.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29223
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5256
194.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7104
262.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4959
183.1 IPS |
|
|
Text Classification (SP)
|
100% |
3715
4.96 KIPS |
|
|
Text Classification (HP)
|
99% |
6233
8.32 KIPS |
|
|
Text Classification (Q)
|
93% |
6175
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4009
69.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7103
122.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7091
122.5 IPS |
