iPhone 15 Pro Max
Geekbench AI Score
5045
Single Precision Score
5890
Half Precision Score
5345
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | October 07 2024 07:22 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% |
1957
363.9 IPS |
|
|
Image Classification (HP)
|
100% |
1751
325.6 IPS |
|
|
Image Classification (Q)
|
97% |
1944
362.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2955
47.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3977
64.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4030
65.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15110
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15942
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14887
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2757
218.7 IPS |
|
|
Object Detection (HP)
|
100% |
3036
240.8 IPS |
|
|
Object Detection (Q)
|
91% |
2484
198.5 IPS |
|
|
Face Detection (SP)
|
100% |
6336
75.3 IPS |
|
|
Face Detection (HP)
|
100% |
8940
106.2 IPS |
|
|
Face Detection (Q)
|
100% |
6469
76.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12314
94.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12971
99.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
10977
85.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29969
38.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35878
46.1 IPS |
|
|
Style Transfer (Q)
|
96% |
34005
43.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6309
233.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6747
249.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5365
198.1 IPS |
|
|
Text Classification (SP)
|
100% |
3184
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5697
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5471
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
944
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
933
16.1 IPS |
|
|
Machine Translation (Q)
|
98% |
928
16.0 IPS |
