iPhone 16 Pro Max
Geekbench AI Score
4407
Single Precision Score
7620
Half Precision Score
6054
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | gastaro |
| Upload Date | June 30 2025 01:06 AM |
| Views | 23 |
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% |
2047
380.7 IPS |
|
|
Image Classification (HP)
|
100% |
3404
633.1 IPS |
|
|
Image Classification (Q)
|
96% |
2265
423.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1911
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2810
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3301
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8347
9.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
16860
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14141
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2243
178.0 IPS |
|
|
Object Detection (HP)
|
97% |
3716
295.8 IPS |
|
|
Object Detection (Q)
|
94% |
2583
205.9 IPS |
|
|
Face Detection (SP)
|
100% |
3699
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
7169
85.2 IPS |
|
|
Face Detection (Q)
|
100% |
4012
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7736
59.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13404
103.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9371
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18801
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36199
46.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29268
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4994
184.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7245
267.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5030
185.8 IPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
6104
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6080
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
4105
70.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7166
123.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7204
124.5 IPS |
