iPhone 15 Pro
Geekbench AI Score
1801
Single Precision Score
3023
Half Precision Score
2469
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 29 2024 05:10 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
769
143.0 IPS |
|
|
Image Classification (HP)
|
100% |
1183
220.0 IPS |
|
|
Image Classification (Q)
|
96% |
839
156.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
783
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1133
18.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1314
21.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3634
4.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
7068
8.25 IPS |
|
|
Pose Estimation (Q)
|
95% |
6360
7.45 IPS |
|
|
Object Detection (SP)
|
100% |
761
60.4 IPS |
|
|
Object Detection (HP)
|
97% |
1450
115.5 IPS |
|
|
Object Detection (Q)
|
94% |
1028
81.9 IPS |
|
|
Face Detection (SP)
|
100% |
1687
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
3014
35.8 IPS |
|
|
Face Detection (Q)
|
100% |
1702
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3063
23.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
5796
44.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
4152
32.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9151
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14075
18.1 IPS |
|
|
Style Transfer (Q)
|
96% |
11908
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2315
85.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2622
96.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1861
68.7 IPS |
|
|
Text Classification (SP)
|
100% |
1374
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2412
3.22 KIPS |
|
|
Text Classification (Q)
|
93% |
2398
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1437
24.8 IPS |
|
|
Machine Translation (HP)
|
98% |
2992
51.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3116
53.8 IPS |
