iPhone 15 Pro Max
Geekbench AI Score
4987
Single Precision Score
5804
Half Precision Score
5228
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Odai |
| Upload Date | September 14 2024 12:10 AM |
| Views | 11 |
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% |
1995
371.0 IPS |
|
|
Image Classification (HP)
|
100% |
1791
333.0 IPS |
|
|
Image Classification (Q)
|
97% |
1854
346.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3037
49.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3977
64.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3999
64.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15056
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15897
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14729
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2531
200.7 IPS |
|
|
Object Detection (HP)
|
100% |
2797
221.9 IPS |
|
|
Object Detection (Q)
|
91% |
2233
178.4 IPS |
|
|
Face Detection (SP)
|
100% |
6532
77.6 IPS |
|
|
Face Detection (HP)
|
100% |
8871
105.4 IPS |
|
|
Face Detection (Q)
|
100% |
6234
74.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11768
90.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12758
98.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
10729
83.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29452
37.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35525
45.7 IPS |
|
|
Style Transfer (Q)
|
96% |
33312
43.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6305
232.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6639
245.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5335
197.0 IPS |
|
|
Text Classification (SP)
|
100% |
3171
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
5427
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5483
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
912
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
946
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
961
16.6 IPS |
