iPhone 16 Pro Max
Geekbench AI Score
4384
Single Precision Score
7541
Half Precision Score
5958
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 03 2025 05:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2054
382.0 IPS |
|
|
Image Classification (HP)
|
100% |
3385
629.5 IPS |
|
|
Image Classification (Q)
|
96% |
2252
420.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1925
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2835
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3252
52.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8334
9.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
16644
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14039
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
2223
176.3 IPS |
|
|
Object Detection (HP)
|
97% |
3673
292.4 IPS |
|
|
Object Detection (Q)
|
94% |
2530
201.7 IPS |
|
|
Face Detection (SP)
|
100% |
3733
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
7218
85.8 IPS |
|
|
Face Detection (Q)
|
100% |
3939
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7527
58.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13171
101.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9007
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18445
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34915
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28907
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4847
179.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7172
264.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4983
184.0 IPS |
|
|
Text Classification (SP)
|
100% |
3376
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5896
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5879
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4228
72.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7228
124.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7215
124.7 IPS |
