iPhone 15 Pro Max
Geekbench AI Score
3678
Single Precision Score
5488
Half Precision Score
4747
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | mitgeek |
| Upload Date | September 10 2024 12:15 PM |
| Views | 3 |
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% |
1729
321.5 IPS |
|
|
Image Classification (HP)
|
100% |
2216
412.2 IPS |
|
|
Image Classification (Q)
|
96% |
1648
307.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1410
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1392
22.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2073
33.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7068
8.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
16134
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13952
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1733
137.4 IPS |
|
|
Object Detection (HP)
|
97% |
2613
208.1 IPS |
|
|
Object Detection (Q)
|
94% |
1999
159.3 IPS |
|
|
Face Detection (SP)
|
100% |
2885
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
4942
58.7 IPS |
|
|
Face Detection (Q)
|
100% |
3171
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6303
48.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
9603
74.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
7305
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20244
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
30515
39.2 IPS |
|
|
Style Transfer (Q)
|
96% |
25748
33.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4741
175.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5726
211.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4416
163.1 IPS |
|
|
Text Classification (SP)
|
100% |
3165
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
5225
6.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5221
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2749
47.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4404
76.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4435
76.6 IPS |
