iPhone 15 Pro
Geekbench AI Score
3621
Single Precision Score
5404
Half Precision Score
4491
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | 314TeR |
| Upload Date | August 30 2024 08:24 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
1717
319.3 IPS |
|
|
Image Classification (HP)
|
100% |
2182
405.8 IPS |
|
|
Image Classification (Q)
|
99% |
2190
408.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1454
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1385
22.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
1364
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7022
8.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
15252
17.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
13277
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1719
136.3 IPS |
|
|
Object Detection (HP)
|
97% |
2548
202.9 IPS |
|
|
Object Detection (Q)
|
94% |
1965
156.7 IPS |
|
|
Face Detection (SP)
|
100% |
2890
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
4836
57.5 IPS |
|
|
Face Detection (Q)
|
100% |
3070
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5915
45.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9407
72.7 IPS |
|
|
Depth Estimation (Q)
|
96% |
4785
37.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19478
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29712
38.2 IPS |
|
|
Style Transfer (Q)
|
100% |
29540
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4477
165.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5688
210.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4258
157.7 IPS |
|
|
Text Classification (SP)
|
100% |
3111
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
5202
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5141
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2779
47.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4523
78.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4510
77.9 IPS |
