iPhone 15 Pro Max
Geekbench AI Score
4891
Single Precision Score
5909
Half Precision Score
5280
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | pakitt |
| Upload Date | October 26 2024 04:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1849
343.8 IPS |
|
|
Image Classification (HP)
|
100% |
1806
335.9 IPS |
|
|
Image Classification (Q)
|
97% |
1751
326.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2963
48.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3940
63.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4009
65.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15045
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15855
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14918
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2406
190.9 IPS |
|
|
Object Detection (HP)
|
100% |
2784
220.8 IPS |
|
|
Object Detection (Q)
|
91% |
2340
187.0 IPS |
|
|
Face Detection (SP)
|
100% |
6714
79.8 IPS |
|
|
Face Detection (HP)
|
100% |
9564
113.6 IPS |
|
|
Face Detection (Q)
|
100% |
6719
79.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11675
89.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12712
97.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
10555
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29757
38.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35244
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33966
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5914
218.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6877
254.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5248
193.8 IPS |
|
|
Text Classification (SP)
|
100% |
3193
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5519
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5508
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
897
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1016
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
988
17.1 IPS |
