iPhone 15 Pro
Geekbench AI Score
3716
Single Precision Score
5495
Half Precision Score
4747
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | mermi |
| Upload Date | November 03 2024 03:11 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.7.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1728
321.4 IPS |
|
|
Image Classification (HP)
|
100% |
2204
409.8 IPS |
|
|
Image Classification (Q)
|
96% |
1646
307.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1431
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1352
21.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2078
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7731
9.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
16142
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14043
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1749
138.7 IPS |
|
|
Object Detection (HP)
|
97% |
2593
206.5 IPS |
|
|
Object Detection (Q)
|
94% |
1973
157.3 IPS |
|
|
Face Detection (SP)
|
100% |
2928
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
4890
58.1 IPS |
|
|
Face Detection (Q)
|
100% |
3154
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6121
47.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
9578
74.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
7224
56.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20157
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
30668
39.4 IPS |
|
|
Style Transfer (Q)
|
96% |
25812
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4677
172.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5901
217.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4427
163.5 IPS |
|
|
Text Classification (SP)
|
100% |
3170
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
5226
6.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5187
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2809
48.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4548
78.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4541
78.5 IPS |
