iPhone 15 Pro Max
Geekbench AI Score
4022
Single Precision Score
6921
Half Precision Score
5635
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 02:14 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 15 Pro Max |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1704
316.9 IPS |
|
|
Image Classification (HP)
|
100% |
2922
543.3 IPS |
|
|
Image Classification (Q)
|
96% |
2000
373.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1600
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2423
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3082
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8565
9.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
17268
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14894
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1810
143.6 IPS |
|
|
Object Detection (HP)
|
97% |
3371
268.4 IPS |
|
|
Object Detection (Q)
|
94% |
2356
187.8 IPS |
|
|
Face Detection (SP)
|
100% |
3195
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
6888
81.8 IPS |
|
|
Face Detection (Q)
|
100% |
3901
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7148
55.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13705
105.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9397
73.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21910
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33012
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27674
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5159
190.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5780
213.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4419
163.2 IPS |
|
|
Text Classification (SP)
|
100% |
3216
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5706
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5561
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3162
54.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5960
103.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5993
103.6 IPS |
