iPhone 15 Pro Max
Geekbench AI Score
4995
Single Precision Score
6126
Half Precision Score
5442
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 06:23 AM |
| 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% |
2591
481.9 IPS |
|
|
Image Classification (HP)
|
100% |
2894
538.1 IPS |
|
|
Image Classification (Q)
|
97% |
2522
470.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2883
46.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3837
62.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3877
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13078
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
13919
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13164
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
2443
193.8 IPS |
|
|
Object Detection (HP)
|
100% |
2749
218.1 IPS |
|
|
Object Detection (Q)
|
91% |
2289
182.9 IPS |
|
|
Face Detection (SP)
|
100% |
6021
71.5 IPS |
|
|
Face Detection (HP)
|
100% |
8461
100.5 IPS |
|
|
Face Detection (Q)
|
100% |
6083
72.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10870
83.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
11732
90.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
10323
80.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27027
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32362
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30301
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5991
221.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6269
231.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5153
190.3 IPS |
|
|
Text Classification (SP)
|
100% |
3192
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5517
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5511
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1198
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1577
27.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1433
24.8 IPS |
