iPhone 15 Pro Max
Geekbench AI Score
4045
Single Precision Score
4684
Half Precision Score
4303
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | gundar |
| Upload Date | August 15 2024 09:08 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1741
323.8 IPS |
|
|
Image Classification (HP)
|
100% |
1871
347.9 IPS |
|
|
Image Classification (Q)
|
99% |
2065
385.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2969
48.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3903
63.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
3860
62.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14949
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15922
18.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14793
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2327
184.5 IPS |
|
|
Object Detection (HP)
|
100% |
2619
207.7 IPS |
|
|
Object Detection (Q)
|
92% |
2206
176.1 IPS |
|
|
Face Detection (SP)
|
100% |
6255
74.3 IPS |
|
|
Face Detection (HP)
|
100% |
8426
100.1 IPS |
|
|
Face Detection (Q)
|
100% |
5963
70.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11358
87.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12937
99.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
13041
100.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29581
38.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34890
44.9 IPS |
|
|
Style Transfer (Q)
|
100% |
35801
46.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6275
231.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6751
249.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5233
193.9 IPS |
|
|
Text Classification (SP)
|
100% |
461
615.3 IPS |
|
|
Text Classification (HP)
|
100% |
505
673.7 IPS |
|
|
Text Classification (Q)
|
93% |
344
461.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1074
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1289
22.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1671
28.9 IPS |
