iPhone 15 Pro
Geekbench AI Score
4908
Single Precision Score
5704
Half Precision Score
5131
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 03:47 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% |
1873
348.3 IPS |
|
|
Image Classification (HP)
|
100% |
1723
320.5 IPS |
|
|
Image Classification (Q)
|
97% |
1782
332.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3042
49.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3937
63.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3990
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15054
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15820
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14537
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2463
195.4 IPS |
|
|
Object Detection (HP)
|
100% |
2731
216.6 IPS |
|
|
Object Detection (Q)
|
91% |
2307
184.3 IPS |
|
|
Face Detection (SP)
|
100% |
6737
80.0 IPS |
|
|
Face Detection (HP)
|
100% |
8826
104.9 IPS |
|
|
Face Detection (Q)
|
100% |
6348
75.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11432
88.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12768
98.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
10478
81.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29406
37.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35252
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
32082
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6210
229.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6438
237.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5163
190.7 IPS |
|
|
Text Classification (SP)
|
100% |
3094
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
5343
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5230
7.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
883
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
911
15.7 IPS |
|
|
Machine Translation (Q)
|
98% |
922
15.9 IPS |
