iPhone 15 Pro Max
Geekbench AI Score
4033
Single Precision Score
6884
Half Precision Score
5629
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 02:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1719
319.6 IPS |
|
|
Image Classification (HP)
|
100% |
2932
545.2 IPS |
|
|
Image Classification (Q)
|
96% |
2018
376.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1647
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2378
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3091
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8523
9.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
17124
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14784
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1822
144.5 IPS |
|
|
Object Detection (HP)
|
97% |
3371
268.3 IPS |
|
|
Object Detection (Q)
|
94% |
2356
187.8 IPS |
|
|
Face Detection (SP)
|
100% |
3231
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
6761
80.3 IPS |
|
|
Face Detection (Q)
|
100% |
3883
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7263
56.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13699
105.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9422
73.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21795
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32711
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27613
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5101
188.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5830
215.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4436
163.8 IPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5563
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5466
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3109
53.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6048
104.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6003
103.7 IPS |
