iPhone 15 Pro Max
Geekbench AI Score
4894
Single Precision Score
5972
Half Precision Score
5282
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Wierzciu |
| Upload Date | January 11 2025 07:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2187
406.8 IPS |
|
|
Image Classification (HP)
|
100% |
2420
450.1 IPS |
|
|
Image Classification (Q)
|
97% |
2060
384.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2711
43.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3728
60.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3733
60.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13218
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
14111
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13383
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2374
188.3 IPS |
|
|
Object Detection (HP)
|
100% |
2970
235.6 IPS |
|
|
Object Detection (Q)
|
91% |
2340
187.0 IPS |
|
|
Face Detection (SP)
|
100% |
6079
72.2 IPS |
|
|
Face Detection (HP)
|
100% |
8306
98.7 IPS |
|
|
Face Detection (Q)
|
100% |
6043
71.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10901
84.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
11876
91.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
10323
80.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27265
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32189
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30291
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5993
221.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6394
236.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5044
186.3 IPS |
|
|
Text Classification (SP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5596
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5477
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1224
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1345
23.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1345
23.2 IPS |
