iPhone 15 Pro Max
Geekbench AI Score
4827
Single Precision Score
5858
Half Precision Score
4259
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | anh |
| Upload Date | August 16 2024 02:58 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1787
332.4 IPS |
|
|
Image Classification (HP)
|
100% |
1789
332.7 IPS |
|
|
Image Classification (Q)
|
99% |
2054
383.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2882
46.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3921
63.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
3972
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14580
17.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
15723
18.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
14240
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2418
191.8 IPS |
|
|
Object Detection (HP)
|
100% |
2908
230.7 IPS |
|
|
Object Detection (Q)
|
91% |
2252
180.0 IPS |
|
|
Face Detection (SP)
|
100% |
6162
73.2 IPS |
|
|
Face Detection (HP)
|
100% |
8868
105.4 IPS |
|
|
Face Detection (Q)
|
100% |
6326
75.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11683
90.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12822
98.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
1370
10.6 IPS |
|
|
Style Transfer (SP)
|
100% |
29601
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35192
45.2 IPS |
|
|
Style Transfer (Q)
|
100% |
35303
45.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6446
238.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6561
242.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4962
183.8 IPS |
|
|
Text Classification (SP)
|
100% |
3098
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
5458
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5263
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
889
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1037
17.9 IPS |
|
|
Machine Translation (Q)
|
98% |
940
16.3 IPS |
