iPhone 15 Pro Max
Geekbench AI Score
4065
Single Precision Score
4628
Half Precision Score
4314
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | macprime |
| Upload Date | August 15 2024 08:12 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1743
324.2 IPS |
|
|
Image Classification (HP)
|
100% |
1686
313.5 IPS |
|
|
Image Classification (Q)
|
99% |
2169
404.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3001
48.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3906
63.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
3883
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14842
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
15906
18.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14555
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2489
197.4 IPS |
|
|
Object Detection (HP)
|
100% |
2782
220.7 IPS |
|
|
Object Detection (Q)
|
92% |
2403
191.8 IPS |
|
|
Face Detection (SP)
|
100% |
5895
70.0 IPS |
|
|
Face Detection (HP)
|
100% |
8751
104.0 IPS |
|
|
Face Detection (Q)
|
100% |
6036
71.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11248
86.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12847
99.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
13361
103.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28937
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34291
44.1 IPS |
|
|
Style Transfer (Q)
|
100% |
33805
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6083
224.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6705
247.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5560
206.0 IPS |
|
|
Text Classification (SP)
|
100% |
501
668.6 IPS |
|
|
Text Classification (HP)
|
100% |
516
688.4 IPS |
|
|
Text Classification (Q)
|
93% |
319
428.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1093
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1160
20.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1569
27.1 IPS |
