iPhone 16 Pro Max
Geekbench AI Score
4463
Single Precision Score
7620
Half Precision Score
6056
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 14 2025 04:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2067
384.4 IPS |
|
|
Image Classification (HP)
|
100% |
3400
632.3 IPS |
|
|
Image Classification (Q)
|
96% |
2272
424.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1944
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2847
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3311
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8772
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17315
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14668
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2245
178.1 IPS |
|
|
Object Detection (HP)
|
97% |
3739
297.6 IPS |
|
|
Object Detection (Q)
|
94% |
2619
208.7 IPS |
|
|
Face Detection (SP)
|
100% |
3752
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
7216
85.7 IPS |
|
|
Face Detection (Q)
|
100% |
4053
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7878
60.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13758
106.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9584
74.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19117
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36197
46.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29938
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5127
189.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7238
267.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4866
179.7 IPS |
|
|
Text Classification (SP)
|
100% |
3305
4.41 KIPS |
|
|
Text Classification (HP)
|
100% |
5697
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5669
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4142
71.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7116
123.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7164
123.8 IPS |
