iPhone 15 Pro
Geekbench AI Score
3901
Single Precision Score
6780
Half Precision Score
5540
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:54 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1726
320.9 IPS |
|
|
Image Classification (HP)
|
100% |
2912
541.6 IPS |
|
|
Image Classification (Q)
|
96% |
2023
377.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2395
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3036
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7748
9.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
15938
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13932
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1754
139.2 IPS |
|
|
Object Detection (HP)
|
97% |
3302
262.9 IPS |
|
|
Object Detection (Q)
|
94% |
2311
184.2 IPS |
|
|
Face Detection (SP)
|
100% |
3172
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6605
78.5 IPS |
|
|
Face Detection (Q)
|
100% |
3771
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6937
53.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13382
103.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9129
71.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20583
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
31808
40.9 IPS |
|
|
Style Transfer (Q)
|
96% |
26868
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4727
174.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5852
216.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4393
162.2 IPS |
|
|
Text Classification (SP)
|
100% |
3207
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5567
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5545
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3147
54.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6106
105.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6123
105.8 IPS |
