iPhone 15 Pro Max
Geekbench AI Score
3851
Single Precision Score
6733
Half Precision Score
5521
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | October 13 2024 11:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1639
304.7 IPS |
|
|
Image Classification (HP)
|
100% |
2868
533.4 IPS |
|
|
Image Classification (Q)
|
96% |
2007
374.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1542
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2385
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3051
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7840
9.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
15929
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13902
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1745
138.4 IPS |
|
|
Object Detection (HP)
|
97% |
3308
263.4 IPS |
|
|
Object Detection (Q)
|
94% |
2335
186.1 IPS |
|
|
Face Detection (SP)
|
100% |
3144
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6681
79.4 IPS |
|
|
Face Detection (Q)
|
100% |
3850
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6913
53.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
13273
102.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9103
71.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20711
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32119
41.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27035
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4769
176.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5896
217.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4424
163.4 IPS |
|
|
Text Classification (SP)
|
100% |
3174
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
5489
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5444
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3051
52.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5770
99.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5804
100.3 IPS |
