iPhone 15 Pro Max
Geekbench AI Score
4234
Single Precision Score
4735
Half Precision Score
4227
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | hass |
| Upload Date | September 05 2024 03:09 PM |
| Views | 2 |
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% |
1995
371.1 IPS |
|
|
Image Classification (HP)
|
100% |
2032
377.8 IPS |
|
|
Image Classification (Q)
|
99% |
2057
383.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2969
48.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3873
62.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
3885
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15076
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15967
18.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14681
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2529
200.6 IPS |
|
|
Object Detection (HP)
|
100% |
2774
220.0 IPS |
|
|
Object Detection (Q)
|
92% |
2198
175.4 IPS |
|
|
Face Detection (SP)
|
100% |
6661
79.1 IPS |
|
|
Face Detection (HP)
|
100% |
8781
104.3 IPS |
|
|
Face Detection (Q)
|
100% |
5882
69.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11854
91.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12972
99.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
13292
102.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29829
38.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35224
45.3 IPS |
|
|
Style Transfer (Q)
|
100% |
34727
44.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6115
225.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6718
248.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5310
196.7 IPS |
|
|
Text Classification (SP)
|
100% |
463
617.9 IPS |
|
|
Text Classification (HP)
|
100% |
508
678.4 IPS |
|
|
Text Classification (Q)
|
93% |
306
410.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1232
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1188
20.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1601
27.7 IPS |
