iPhone 15 Pro Max
Geekbench AI Score
4917
Single Precision Score
5828
Half Precision Score
4460
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| Upload Date | August 22 2024 09:53 PM |
| Views | 1 |
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% |
1793
333.4 IPS |
|
|
Image Classification (HP)
|
100% |
1810
336.5 IPS |
|
|
Image Classification (Q)
|
99% |
2127
396.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2994
48.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3946
64.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
3976
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14985
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15916
18.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
14502
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2631
208.7 IPS |
|
|
Object Detection (HP)
|
100% |
2881
228.5 IPS |
|
|
Object Detection (Q)
|
91% |
2250
179.8 IPS |
|
|
Face Detection (SP)
|
100% |
6281
74.6 IPS |
|
|
Face Detection (HP)
|
100% |
8852
105.2 IPS |
|
|
Face Detection (Q)
|
100% |
6199
73.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11804
90.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12809
98.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
1842
14.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29157
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35657
45.8 IPS |
|
|
Style Transfer (Q)
|
100% |
35963
46.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6370
235.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6689
247.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5110
189.3 IPS |
|
|
Text Classification (SP)
|
100% |
3172
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
5534
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5543
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
894
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
923
15.9 IPS |
|
|
Machine Translation (Q)
|
98% |
972
16.8 IPS |
