iPhone 15 Pro Max
Geekbench AI Score
3924
Single Precision Score
6812
Half Precision Score
5553
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 06:48 PM |
| Views | 2 |
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% |
1718
319.4 IPS |
|
|
Image Classification (HP)
|
100% |
2932
545.2 IPS |
|
|
Image Classification (Q)
|
96% |
2011
375.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1636
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2429
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3053
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8119
9.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
16150
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13896
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1749
138.7 IPS |
|
|
Object Detection (HP)
|
97% |
3315
263.9 IPS |
|
|
Object Detection (Q)
|
94% |
2312
184.3 IPS |
|
|
Face Detection (SP)
|
100% |
3120
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6586
78.3 IPS |
|
|
Face Detection (Q)
|
100% |
3803
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6977
53.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13479
104.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9248
72.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20849
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32376
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27336
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4851
179.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5793
213.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4432
163.6 IPS |
|
|
Text Classification (SP)
|
100% |
3191
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5620
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5449
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3088
53.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6038
104.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6089
105.2 IPS |
