iPhone 15 Pro Max
Geekbench AI Score
4026
Single Precision Score
6920
Half Precision Score
5638
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 11 2024 04:26 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1727
321.1 IPS |
|
|
Image Classification (HP)
|
100% |
2932
545.2 IPS |
|
|
Image Classification (Q)
|
96% |
2011
375.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1614
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2463
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3093
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8531
9.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
17154
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14806
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1816
144.0 IPS |
|
|
Object Detection (HP)
|
97% |
3374
268.6 IPS |
|
|
Object Detection (Q)
|
94% |
2363
188.3 IPS |
|
|
Face Detection (SP)
|
100% |
3239
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
6822
81.1 IPS |
|
|
Face Detection (Q)
|
100% |
3909
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7252
55.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
13592
105.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9432
73.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21791
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32984
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27646
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5095
188.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5855
216.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4429
163.5 IPS |
|
|
Text Classification (SP)
|
100% |
3200
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5559
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5484
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3109
53.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6060
104.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6033
104.3 IPS |
