iPhone 15 Pro
Geekbench AI Score
4023
Single Precision Score
6886
Half Precision Score
6018
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Hogehoge |
| Upload Date | August 24 2024 08:28 AM |
| Views | 4 |
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% |
1728
321.3 IPS |
|
|
Image Classification (HP)
|
100% |
2924
543.8 IPS |
|
|
Image Classification (Q)
|
99% |
2916
543.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1646
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2380
38.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
2429
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8328
9.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
16896
19.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
14560
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1817
144.1 IPS |
|
|
Object Detection (HP)
|
97% |
3398
270.5 IPS |
|
|
Object Detection (Q)
|
94% |
2363
188.4 IPS |
|
|
Face Detection (SP)
|
100% |
3257
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
6810
80.9 IPS |
|
|
Face Detection (Q)
|
100% |
3878
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7263
56.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13645
105.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
13639
105.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21636
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32676
42.0 IPS |
|
|
Style Transfer (Q)
|
100% |
32771
42.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5056
186.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5863
216.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4389
162.6 IPS |
|
|
Text Classification (SP)
|
100% |
3195
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5551
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5491
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3127
53.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6075
105.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6126
105.9 IPS |
