iPhone 15 Pro
Geekbench AI Score
3880
Single Precision Score
6759
Half Precision Score
5498
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 01:18 PM |
| 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% |
1678
312.0 IPS |
|
|
Image Classification (HP)
|
100% |
2934
545.6 IPS |
|
|
Image Classification (Q)
|
96% |
2015
376.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1593
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2373
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2984
48.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7662
8.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
15709
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13611
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1736
137.7 IPS |
|
|
Object Detection (HP)
|
97% |
3346
266.4 IPS |
|
|
Object Detection (Q)
|
94% |
2305
183.7 IPS |
|
|
Face Detection (SP)
|
100% |
3177
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6804
80.8 IPS |
|
|
Face Detection (Q)
|
100% |
3828
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6776
52.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13228
102.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9118
71.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20654
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
31551
40.6 IPS |
|
|
Style Transfer (Q)
|
96% |
26545
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4870
179.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5694
210.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4355
160.8 IPS |
|
|
Text Classification (SP)
|
100% |
3200
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5495
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5466
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3140
54.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6120
105.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6067
104.8 IPS |
