iPhone 15 Pro
Geekbench AI Score
3911
Single Precision Score
6770
Half Precision Score
5551
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | notakaos |
| Upload Date | September 20 2024 06:36 PM |
| Views | 13 |
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% |
1723
320.5 IPS |
|
|
Image Classification (HP)
|
100% |
2914
541.9 IPS |
|
|
Image Classification (Q)
|
96% |
2017
376.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1611
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2383
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3059
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7800
9.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
15911
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13920
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1766
140.1 IPS |
|
|
Object Detection (HP)
|
97% |
3316
264.0 IPS |
|
|
Object Detection (Q)
|
94% |
2319
184.8 IPS |
|
|
Face Detection (SP)
|
100% |
3214
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
6648
79.0 IPS |
|
|
Face Detection (Q)
|
100% |
3804
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6934
53.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13328
103.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9112
71.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20709
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32096
41.3 IPS |
|
|
Style Transfer (Q)
|
96% |
26959
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4782
176.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5774
213.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4379
161.7 IPS |
|
|
Text Classification (SP)
|
100% |
3188
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5509
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5554
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3118
53.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6106
105.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6137
106.0 IPS |
