iPhone 15 Pro Max
Geekbench AI Score
4113
Single Precision Score
4686
Half Precision Score
4468
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | computerguru03 |
| Upload Date | August 15 2024 09:29 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1781
331.2 IPS |
|
|
Image Classification (HP)
|
100% |
1710
317.9 IPS |
|
|
Image Classification (Q)
|
99% |
2035
379.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2922
47.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3859
62.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
3891
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15064
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15950
18.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14558
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2473
196.1 IPS |
|
|
Object Detection (HP)
|
100% |
3025
239.9 IPS |
|
|
Object Detection (Q)
|
92% |
2192
174.9 IPS |
|
|
Face Detection (SP)
|
100% |
6426
76.4 IPS |
|
|
Face Detection (HP)
|
100% |
8540
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
5980
71.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11808
91.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12936
99.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
13376
103.4 IPS |
|
|
Style Transfer (SP)
|
100% |
29680
38.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34890
44.9 IPS |
|
|
Style Transfer (Q)
|
100% |
34234
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6267
231.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6645
245.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5320
197.1 IPS |
|
|
Text Classification (SP)
|
100% |
472
630.6 IPS |
|
|
Text Classification (HP)
|
100% |
518
692.0 IPS |
|
|
Text Classification (Q)
|
93% |
550
737.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1074
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1209
20.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1568
27.1 IPS |
