iPhone 15 Pro Max
Geekbench AI Score
5040
Single Precision Score
5902
Half Precision Score
5401
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 06:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
2000
371.9 IPS |
|
|
Image Classification (HP)
|
100% |
1890
351.5 IPS |
|
|
Image Classification (Q)
|
97% |
2038
380.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2923
47.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3945
64.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4023
65.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15142
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
15961
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15060
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2733
216.8 IPS |
|
|
Object Detection (HP)
|
100% |
2888
229.1 IPS |
|
|
Object Detection (Q)
|
91% |
2469
197.3 IPS |
|
|
Face Detection (SP)
|
100% |
6551
77.8 IPS |
|
|
Face Detection (HP)
|
100% |
8948
106.3 IPS |
|
|
Face Detection (Q)
|
100% |
6254
74.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11757
90.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12895
99.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
11004
86.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29909
38.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34907
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
34106
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6483
239.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6891
254.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5666
209.2 IPS |
|
|
Text Classification (SP)
|
100% |
3251
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5706
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5663
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
901
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
943
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
920
15.9 IPS |
