iPhone 15 Pro Max
Geekbench AI Score
3825
Single Precision Score
5527
Half Precision Score
4797
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 05:21 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1734
322.5 IPS |
|
|
Image Classification (HP)
|
100% |
2201
409.2 IPS |
|
|
Image Classification (Q)
|
96% |
1653
308.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1417
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1342
21.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2080
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8421
9.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
17018
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14652
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1801
142.8 IPS |
|
|
Object Detection (HP)
|
97% |
2624
208.9 IPS |
|
|
Object Detection (Q)
|
94% |
2016
160.7 IPS |
|
|
Face Detection (SP)
|
100% |
2960
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
5004
59.5 IPS |
|
|
Face Detection (Q)
|
100% |
3211
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6624
51.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
9795
75.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
7410
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20923
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
30804
39.6 IPS |
|
|
Style Transfer (Q)
|
96% |
26077
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4974
183.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5731
211.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4442
164.0 IPS |
|
|
Text Classification (SP)
|
100% |
3166
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
5226
6.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5173
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2785
48.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4463
77.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4459
77.1 IPS |
