iPhone 15 Pro
Geekbench AI Score
2809
Single Precision Score
13885
Half Precision Score
17850
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 07:53 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.7.1 |
| 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% |
1490
277.1 IPS |
|
|
Image Classification (HP)
|
100% |
6285
1.17 KIPS |
|
|
Image Classification (Q)
|
97% |
7600
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
830
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5207
84.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10114
163.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7778
9.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
88390
103.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
152342
178.6 IPS |
|
|
Object Detection (SP)
|
100% |
1516
120.2 IPS |
|
|
Object Detection (HP)
|
100% |
8202
650.6 IPS |
|
|
Object Detection (Q)
|
93% |
10014
799.1 IPS |
|
|
Face Detection (SP)
|
100% |
2355
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
11184
132.9 IPS |
|
|
Face Detection (Q)
|
100% |
13245
157.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4853
37.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
41560
320.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
57856
452.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12497
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
128428
165.1 IPS |
|
|
Style Transfer (Q)
|
96% |
137880
177.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4106
151.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18293
675.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26244
969.1 IPS |
|
|
Text Classification (SP)
|
100% |
1845
2.46 KIPS |
|
|
Text Classification (HP)
|
71% |
3899
5.61 KIPS |
|
|
Text Classification (Q)
|
69% |
3886
5.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1945
33.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2638
45.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2600
44.9 IPS |
