iPhone 15 Pro
Geekbench AI Score
4944
Single Precision Score
5778
Half Precision Score
5145
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 08:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1912
355.6 IPS |
|
|
Image Classification (HP)
|
100% |
1862
346.3 IPS |
|
|
Image Classification (Q)
|
97% |
1770
330.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3068
49.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3954
64.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3985
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14924
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15740
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14404
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2609
206.9 IPS |
|
|
Object Detection (HP)
|
100% |
2772
219.9 IPS |
|
|
Object Detection (Q)
|
91% |
2324
185.7 IPS |
|
|
Face Detection (SP)
|
100% |
6496
77.2 IPS |
|
|
Face Detection (HP)
|
100% |
8826
104.9 IPS |
|
|
Face Detection (Q)
|
100% |
6210
73.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11666
89.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12665
97.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
10191
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
29415
37.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34735
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32383
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6129
226.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6461
238.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5408
199.7 IPS |
|
|
Text Classification (SP)
|
100% |
3158
4.22 KIPS |
|
|
Text Classification (HP)
|
100% |
5427
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5392
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
887
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
949
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
922
15.9 IPS |
