iPhone 16 Pro Max
Geekbench AI Score
5825
Single Precision Score
6471
Half Precision Score
6107
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 06:37 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
3093
575.1 IPS |
|
|
Image Classification (HP)
|
100% |
1732
322.0 IPS |
|
|
Image Classification (Q)
|
97% |
2824
526.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3369
54.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4452
72.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4403
71.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15842
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16547
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15671
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
3405
270.1 IPS |
|
|
Object Detection (HP)
|
100% |
3496
277.3 IPS |
|
|
Object Detection (Q)
|
91% |
3118
249.2 IPS |
|
|
Face Detection (SP)
|
100% |
7830
93.0 IPS |
|
|
Face Detection (HP)
|
100% |
10785
128.1 IPS |
|
|
Face Detection (Q)
|
100% |
7176
85.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13502
104.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14481
111.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
12647
98.9 IPS |
|
|
Style Transfer (SP)
|
100% |
33040
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39592
50.9 IPS |
|
|
Style Transfer (Q)
|
96% |
36058
46.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8076
298.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8462
312.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6807
251.4 IPS |
|
|
Text Classification (SP)
|
100% |
3434
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5890
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5852
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
827
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
937
16.1 IPS |
|
|
Machine Translation (Q)
|
98% |
912
15.8 IPS |
