iPhone 15 Pro Max
Geekbench AI Score
3926
Single Precision Score
6847
Half Precision Score
5583
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | October 07 2024 07:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1704
317.0 IPS |
|
|
Image Classification (HP)
|
100% |
2956
549.8 IPS |
|
|
Image Classification (Q)
|
96% |
2012
375.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1624
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2398
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3069
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7844
9.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
16108
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14134
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1778
141.0 IPS |
|
|
Object Detection (HP)
|
97% |
3324
264.6 IPS |
|
|
Object Detection (Q)
|
94% |
2338
186.4 IPS |
|
|
Face Detection (SP)
|
100% |
3130
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
6663
79.2 IPS |
|
|
Face Detection (Q)
|
100% |
3849
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7071
54.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13411
103.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9217
72.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20932
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33341
42.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27325
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4863
179.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5965
220.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4420
163.2 IPS |
|
|
Text Classification (SP)
|
100% |
3233
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
5620
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5627
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3096
53.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5981
103.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5985
103.4 IPS |
