iPhone 15 Pro Max
Geekbench AI Score
4175
Single Precision Score
4678
Half Precision Score
1608
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | wudi890 |
| Upload Date | October 01 2024 07:56 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.4 |
| 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% |
1687
313.7 IPS |
|
|
Image Classification (HP)
|
100% |
1853
344.7 IPS |
|
|
Image Classification (Q)
|
97% |
1731
323.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2930
47.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3889
63.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3957
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14976
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15998
18.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
14695
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2647
210.0 IPS |
|
|
Object Detection (HP)
|
100% |
2733
216.8 IPS |
|
|
Object Detection (Q)
|
92% |
2230
178.0 IPS |
|
|
Face Detection (SP)
|
100% |
6631
78.8 IPS |
|
|
Face Detection (HP)
|
100% |
8540
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
6069
72.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11748
90.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12907
99.4 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
82.7 IPS |
|
|
Style Transfer (SP)
|
100% |
29706
38.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34660
44.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32313
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6226
229.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6551
241.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5360
197.9 IPS |
|
|
Text Classification (SP)
|
100% |
467
623.1 IPS |
|
|
Text Classification (HP)
|
100% |
508
677.8 IPS |
|
|
Text Classification (Q)
|
93% |
310
416.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1221
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1253
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1585
27.4 IPS |
