iPhone 15 Pro
Geekbench AI Score
2642
Single Precision Score
13857
Half Precision Score
17803
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 11 2024 09:29 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1417
263.6 IPS |
|
|
Image Classification (HP)
|
100% |
6239
1.16 KIPS |
|
|
Image Classification (Q)
|
97% |
7576
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
782
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5203
84.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9937
161.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7037
8.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
86992
101.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
152679
178.9 IPS |
|
|
Object Detection (SP)
|
100% |
1443
114.5 IPS |
|
|
Object Detection (HP)
|
100% |
8189
649.6 IPS |
|
|
Object Detection (Q)
|
93% |
10011
798.8 IPS |
|
|
Face Detection (SP)
|
100% |
2125
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
11168
132.7 IPS |
|
|
Face Detection (Q)
|
100% |
13275
157.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4489
34.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
42314
326.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
58857
460.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11912
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
128145
164.7 IPS |
|
|
Style Transfer (Q)
|
96% |
137813
177.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3887
143.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18327
676.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26175
966.5 IPS |
|
|
Text Classification (SP)
|
100% |
1778
2.37 KIPS |
|
|
Text Classification (HP)
|
71% |
4023
5.78 KIPS |
|
|
Text Classification (Q)
|
69% |
3920
5.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1878
32.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2530
43.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2517
43.5 IPS |
