iPhone 15 Pro Max
Geekbench AI Score
4836
Single Precision Score
5793
Half Precision Score
4376
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | bkr899 |
| Upload Date | August 26 2024 07:28 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1680
312.4 IPS |
|
|
Image Classification (HP)
|
100% |
1830
340.3 IPS |
|
|
Image Classification (Q)
|
99% |
2187
407.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2912
47.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3936
63.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
3886
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14949
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15899
18.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
14353
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2531
200.8 IPS |
|
|
Object Detection (HP)
|
100% |
2755
218.5 IPS |
|
|
Object Detection (Q)
|
91% |
2263
180.8 IPS |
|
|
Face Detection (SP)
|
100% |
6411
76.2 IPS |
|
|
Face Detection (HP)
|
100% |
8842
105.1 IPS |
|
|
Face Detection (Q)
|
100% |
6147
73.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11394
87.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12855
99.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
1843
14.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29189
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34987
45.0 IPS |
|
|
Style Transfer (Q)
|
100% |
34839
44.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6266
231.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6621
244.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4976
184.4 IPS |
|
|
Text Classification (SP)
|
100% |
3184
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5501
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5471
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
889
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
933
16.1 IPS |
|
|
Machine Translation (Q)
|
98% |
869
15.0 IPS |
