iPhone 15 Pro Max
Geekbench AI Score
3710
Single Precision Score
5448
Half Precision Score
4732
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 08:18 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% |
1719
319.7 IPS |
|
|
Image Classification (HP)
|
100% |
2186
406.5 IPS |
|
|
Image Classification (Q)
|
96% |
1648
307.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1406
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1335
21.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2077
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7822
9.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
16142
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14150
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1772
140.6 IPS |
|
|
Object Detection (HP)
|
97% |
2571
204.7 IPS |
|
|
Object Detection (Q)
|
94% |
1990
158.7 IPS |
|
|
Face Detection (SP)
|
100% |
2894
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
4913
58.4 IPS |
|
|
Face Detection (Q)
|
100% |
3170
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6288
48.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
9587
74.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
7147
55.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20108
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
30564
39.3 IPS |
|
|
Style Transfer (Q)
|
96% |
25657
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4648
171.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5715
211.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4366
161.2 IPS |
|
|
Text Classification (SP)
|
100% |
3159
4.22 KIPS |
|
|
Text Classification (HP)
|
100% |
5194
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5189
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2752
47.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4451
76.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4437
76.7 IPS |
