iPhone 15 Pro Max
Geekbench AI Score
4839
Single Precision Score
5708
Half Precision Score
4388
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | aenewton |
| Upload Date | August 15 2024 07:26 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1666
309.8 IPS |
|
|
Image Classification (HP)
|
100% |
1742
323.9 IPS |
|
|
Image Classification (Q)
|
99% |
1816
338.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2921
47.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3946
64.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
3950
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15034
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15862
18.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
14578
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2522
200.1 IPS |
|
|
Object Detection (HP)
|
100% |
2729
216.4 IPS |
|
|
Object Detection (Q)
|
91% |
2364
188.9 IPS |
|
|
Face Detection (SP)
|
100% |
6401
76.1 IPS |
|
|
Face Detection (HP)
|
100% |
8833
105.0 IPS |
|
|
Face Detection (Q)
|
100% |
6271
74.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11466
88.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12790
98.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
1832
14.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29330
37.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35149
45.2 IPS |
|
|
Style Transfer (Q)
|
100% |
35622
45.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6361
234.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6433
237.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5107
189.2 IPS |
|
|
Text Classification (SP)
|
100% |
3109
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
5294
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5357
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
897
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
913
15.7 IPS |
|
|
Machine Translation (Q)
|
98% |
957
16.5 IPS |
