iPhone 15 Pro
Geekbench AI Score
4982
Single Precision Score
5781
Half Precision Score
5235
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | achakbrooks |
| Upload Date | October 23 2024 11:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| Model | iPhone 15 Pro |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1936
360.1 IPS |
|
|
Image Classification (HP)
|
100% |
1718
319.6 IPS |
|
|
Image Classification (Q)
|
97% |
1831
341.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3134
50.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3962
64.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4003
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15099
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15851
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14659
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2509
199.0 IPS |
|
|
Object Detection (HP)
|
100% |
2726
216.2 IPS |
|
|
Object Detection (Q)
|
91% |
2451
195.9 IPS |
|
|
Face Detection (SP)
|
100% |
6518
77.4 IPS |
|
|
Face Detection (HP)
|
100% |
8991
106.8 IPS |
|
|
Face Detection (Q)
|
100% |
6205
73.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11587
89.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12685
97.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
10284
80.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30117
38.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35736
45.9 IPS |
|
|
Style Transfer (Q)
|
96% |
32489
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6316
233.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6711
247.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5400
199.4 IPS |
|
|
Text Classification (SP)
|
100% |
3195
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5505
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5471
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
894
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
942
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
959
16.6 IPS |
