iPhone 15 Pro Max
Geekbench AI Score
3709
Single Precision Score
5438
Half Precision Score
4729
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | wudi890 |
| Upload Date | October 01 2024 07:52 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.4 |
| 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% |
1722
320.2 IPS |
|
|
Image Classification (HP)
|
100% |
2179
405.3 IPS |
|
|
Image Classification (Q)
|
96% |
1645
307.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1423
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1341
21.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2071
33.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7781
9.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
16249
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13999
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1765
140.0 IPS |
|
|
Object Detection (HP)
|
97% |
2558
203.7 IPS |
|
|
Object Detection (Q)
|
94% |
1987
158.3 IPS |
|
|
Face Detection (SP)
|
100% |
2891
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
4880
58.0 IPS |
|
|
Face Detection (Q)
|
100% |
3149
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6271
48.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
9609
74.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
7271
56.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20052
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
30271
38.9 IPS |
|
|
Style Transfer (Q)
|
96% |
25610
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4597
169.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5665
209.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4383
161.8 IPS |
|
|
Text Classification (SP)
|
100% |
3161
4.22 KIPS |
|
|
Text Classification (HP)
|
100% |
5215
6.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5183
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2777
47.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4443
76.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4433
76.6 IPS |
