iPhone 15 Pro Max
Geekbench AI Score
3893
Single Precision Score
6776
Half Precision Score
5538
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | HNT |
| Upload Date | December 10 2024 02:29 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1693
314.8 IPS |
|
|
Image Classification (HP)
|
100% |
2921
543.3 IPS |
|
|
Image Classification (Q)
|
96% |
2036
380.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1601
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2398
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3083
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7837
9.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
15961
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13829
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1767
140.2 IPS |
|
|
Object Detection (HP)
|
97% |
3359
267.4 IPS |
|
|
Object Detection (Q)
|
94% |
2332
185.9 IPS |
|
|
Face Detection (SP)
|
100% |
3125
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6739
80.1 IPS |
|
|
Face Detection (Q)
|
100% |
3858
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6885
53.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13298
102.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9133
71.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20760
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32026
41.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27014
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4814
177.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5732
211.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4277
157.9 IPS |
|
|
Text Classification (SP)
|
100% |
3203
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5500
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5472
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3095
53.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6014
103.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6025
104.1 IPS |
