iPhone 15 Pro
Geekbench AI Score
3262
Single Precision Score
5377
Half Precision Score
4519
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:02 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1557
289.6 IPS |
|
|
Image Classification (HP)
|
100% |
2942
547.0 IPS |
|
|
Image Classification (Q)
|
96% |
1889
352.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1316
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2236
36.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2652
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7330
8.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
13469
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12060
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1553
123.2 IPS |
|
|
Object Detection (HP)
|
97% |
2889
230.0 IPS |
|
|
Object Detection (Q)
|
94% |
2084
166.1 IPS |
|
|
Face Detection (SP)
|
100% |
2827
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
6358
75.5 IPS |
|
|
Face Detection (Q)
|
100% |
3605
42.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6018
46.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9195
71.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
6798
53.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17335
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27374
35.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21431
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4010
148.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4293
158.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3234
119.4 IPS |
|
|
Text Classification (SP)
|
100% |
2621
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
2334
3.12 KIPS |
|
|
Text Classification (Q)
|
93% |
4560
6.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1888
32.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4931
85.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3650
63.1 IPS |
