iPhone 15 Pro
Geekbench AI Score
3996
Single Precision Score
6879
Half Precision Score
6000
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | existential |
| Upload Date | August 16 2024 07:20 PM |
| Views | 12 |
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% |
1727
321.2 IPS |
|
|
Image Classification (HP)
|
100% |
2893
538.0 IPS |
|
|
Image Classification (Q)
|
99% |
2905
541.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1635
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2373
38.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
2391
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8223
9.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
16704
19.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14413
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1804
143.1 IPS |
|
|
Object Detection (HP)
|
97% |
3401
270.8 IPS |
|
|
Object Detection (Q)
|
94% |
2373
189.2 IPS |
|
|
Face Detection (SP)
|
100% |
3259
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
6750
80.2 IPS |
|
|
Face Detection (Q)
|
100% |
3875
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7127
54.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
13633
105.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
13550
104.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21237
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32490
41.8 IPS |
|
|
Style Transfer (Q)
|
100% |
32850
42.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4967
183.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5870
216.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4382
162.4 IPS |
|
|
Text Classification (SP)
|
100% |
3216
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5672
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5467
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3150
54.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6119
105.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6162
106.5 IPS |
