iPhone 15 Pro Max
Geekbench AI Score
4918
Single Precision Score
5946
Half Precision Score
5287
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 06:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2172
404.0 IPS |
|
|
Image Classification (HP)
|
100% |
2365
439.8 IPS |
|
|
Image Classification (Q)
|
97% |
2101
392.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2753
44.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3727
60.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3739
60.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13239
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
14134
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13298
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
2401
190.4 IPS |
|
|
Object Detection (HP)
|
100% |
2782
220.6 IPS |
|
|
Object Detection (Q)
|
91% |
2343
187.2 IPS |
|
|
Face Detection (SP)
|
100% |
6228
74.0 IPS |
|
|
Face Detection (HP)
|
100% |
8537
101.4 IPS |
|
|
Face Detection (Q)
|
100% |
5974
71.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10940
84.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11905
91.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
10365
81.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27206
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32448
41.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30324
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6017
222.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6258
231.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5013
185.1 IPS |
|
|
Text Classification (SP)
|
100% |
3191
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5501
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5453
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1224
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1406
24.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1360
23.5 IPS |
