iPhone 15 Pro Max
Geekbench AI Score
3855
Single Precision Score
6772
Half Precision Score
5509
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Wisely_2023 |
| Upload Date | December 09 2024 12:53 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1687
313.7 IPS |
|
|
Image Classification (HP)
|
100% |
2916
542.3 IPS |
|
|
Image Classification (Q)
|
96% |
2024
378.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1592
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2423
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2995
48.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7512
8.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
15663
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13742
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1749
138.8 IPS |
|
|
Object Detection (HP)
|
97% |
3313
263.7 IPS |
|
|
Object Detection (Q)
|
94% |
2302
183.5 IPS |
|
|
Face Detection (SP)
|
100% |
3122
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6584
78.2 IPS |
|
|
Face Detection (Q)
|
100% |
3760
44.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6848
52.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13131
101.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9014
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20478
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31753
40.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26894
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4686
173.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5921
218.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4368
161.3 IPS |
|
|
Text Classification (SP)
|
100% |
3234
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
5716
7.63 KIPS |
|
|
Text Classification (Q)
|
93% |
5672
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3097
53.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5957
102.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5955
102.9 IPS |
