iPhone 16 Pro Max
Geekbench AI Score
6103
Single Precision Score
7005
Half Precision Score
6632
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | tanousjm |
| Upload Date | April 14 2025 02:18 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
3007
559.2 IPS |
|
|
Image Classification (HP)
|
100% |
2769
514.9 IPS |
|
|
Image Classification (Q)
|
96% |
3129
584.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4414
71.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4924
79.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4749
77.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15603
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16493
19.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
15951
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
3185
252.6 IPS |
|
|
Object Detection (HP)
|
100% |
3314
262.9 IPS |
|
|
Object Detection (Q)
|
92% |
2989
238.6 IPS |
|
|
Face Detection (SP)
|
100% |
7707
91.6 IPS |
|
|
Face Detection (HP)
|
100% |
10779
128.1 IPS |
|
|
Face Detection (Q)
|
100% |
8510
101.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13495
104.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15005
115.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
13494
105.5 IPS |
|
|
Style Transfer (SP)
|
100% |
32792
42.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37807
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
36950
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7981
294.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8467
312.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7560
279.2 IPS |
|
|
Text Classification (SP)
|
100% |
3374
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5893
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5886
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1184
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1253
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1232
21.3 IPS |
