iPhone 15 Pro
Geekbench AI Score
3993
Single Precision Score
20784
Half Precision Score
26147
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Deferare |
| Upload Date | August 18 2024 12:22 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1677
311.8 IPS |
|
|
Image Classification (HP)
|
100% |
11825
2.20 KIPS |
|
|
Image Classification (Q)
|
99% |
13525
2.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1594
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10546
171.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
10704
173.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8453
9.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
104167
121.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
199831
234.4 IPS |
|
|
Object Detection (SP)
|
100% |
1818
144.2 IPS |
|
|
Object Detection (HP)
|
100% |
13096
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
18804
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3181
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
21614
256.8 IPS |
|
|
Face Detection (Q)
|
100% |
36975
439.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7207
55.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
64489
496.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
73734
570.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21542
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
139667
179.5 IPS |
|
|
Style Transfer (Q)
|
100% |
139917
179.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5071
187.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36560
1.35 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
57615
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3191
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
1965
2.62 KIPS |
|
|
Text Classification (Q)
|
93% |
1673
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3142
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6324
108.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7467
129.0 IPS |
