iPhone 15 Pro
Geekbench AI Score
3845
Single Precision Score
20788
Half Precision Score
26462
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Destructico |
| Upload Date | August 15 2024 07:09 PM |
| Views | 24 |
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% |
1648
306.5 IPS |
|
|
Image Classification (HP)
|
100% |
11374
2.12 KIPS |
|
|
Image Classification (Q)
|
99% |
12765
2.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1578
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10928
177.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
10889
176.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7395
8.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
99047
115.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
198007
232.2 IPS |
|
|
Object Detection (SP)
|
100% |
1750
138.8 IPS |
|
|
Object Detection (HP)
|
100% |
13135
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
18756
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3162
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
21469
255.1 IPS |
|
|
Face Detection (Q)
|
100% |
34943
415.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6941
53.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
63876
492.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
73945
571.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20109
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
137649
176.9 IPS |
|
|
Style Transfer (Q)
|
100% |
140127
180.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4734
174.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33974
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
55315
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3192
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2386
3.18 KIPS |
|
|
Text Classification (Q)
|
93% |
2019
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3149
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6091
104.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8068
139.4 IPS |
