iPhone 15 Pro Max
Geekbench AI Score
3702
Single Precision Score
5465
Half Precision Score
4756
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | mrxoom1974 |
| Upload Date | September 06 2024 07:25 PM |
| Views | 7 |
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% |
1731
321.9 IPS |
|
|
Image Classification (HP)
|
100% |
2219
412.8 IPS |
|
|
Image Classification (Q)
|
96% |
1652
308.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1423
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1345
21.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2078
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7731
9.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
16129
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14053
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1741
138.1 IPS |
|
|
Object Detection (HP)
|
97% |
2592
206.4 IPS |
|
|
Object Detection (Q)
|
94% |
1967
156.8 IPS |
|
|
Face Detection (SP)
|
100% |
2866
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
4909
58.3 IPS |
|
|
Face Detection (Q)
|
100% |
3159
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6276
48.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
9612
74.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
7214
56.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20130
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29217
37.6 IPS |
|
|
Style Transfer (Q)
|
96% |
25719
33.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4603
170.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5918
218.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4424
163.4 IPS |
|
|
Text Classification (SP)
|
100% |
3168
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
5225
6.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5209
6.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2762
47.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4469
77.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4627
80.0 IPS |
