iPhone 15 Pro Max
Geekbench AI Score
3796
Single Precision Score
6642
Half Precision Score
5457
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 11:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1598
297.1 IPS |
|
|
Image Classification (HP)
|
100% |
2855
530.9 IPS |
|
|
Image Classification (Q)
|
96% |
1995
372.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1550
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2331
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2926
47.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7310
8.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
14956
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13363
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1716
136.1 IPS |
|
|
Object Detection (HP)
|
97% |
3250
258.8 IPS |
|
|
Object Detection (Q)
|
94% |
2298
183.2 IPS |
|
|
Face Detection (SP)
|
100% |
3074
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
6479
77.0 IPS |
|
|
Face Detection (Q)
|
100% |
3715
44.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6809
52.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13159
101.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9037
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20470
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31896
41.0 IPS |
|
|
Style Transfer (Q)
|
96% |
26756
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4785
176.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5802
214.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4419
163.2 IPS |
|
|
Text Classification (SP)
|
100% |
3179
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
5548
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5530
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3074
52.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5906
102.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5958
103.0 IPS |
