iPhone 15 Pro
Geekbench AI Score
4668
Single Precision Score
4962
Half Precision Score
4640
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 01:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1489
276.8 IPS |
|
|
Image Classification (HP)
|
100% |
905
168.2 IPS |
|
|
Image Classification (Q)
|
97% |
1105
206.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3038
49.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3604
58.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3772
61.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13421
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
14015
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13370
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2311
183.3 IPS |
|
|
Object Detection (HP)
|
100% |
1950
154.7 IPS |
|
|
Object Detection (Q)
|
91% |
1719
137.4 IPS |
|
|
Face Detection (SP)
|
100% |
5744
68.3 IPS |
|
|
Face Detection (HP)
|
100% |
6493
77.1 IPS |
|
|
Face Detection (Q)
|
100% |
6077
72.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10792
83.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11797
90.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
10217
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27568
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32273
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30378
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5701
210.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6064
223.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3786
139.8 IPS |
|
|
Text Classification (SP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5505
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5480
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1125
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1231
21.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1234
21.3 IPS |
