iPhone 15 Pro
Geekbench AI Score
3954
Single Precision Score
23564
Half Precision Score
33222
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | October 04 2024 11:21 PM |
| Views | 19 |
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% |
1707
317.4 IPS |
|
|
Image Classification (HP)
|
100% |
10421
1.94 KIPS |
|
|
Image Classification (Q)
|
97% |
14483
2.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1620
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15689
254.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
20683
335.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8093
9.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
106455
124.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
203430
238.4 IPS |
|
|
Object Detection (SP)
|
100% |
1792
142.1 IPS |
|
|
Object Detection (HP)
|
100% |
13610
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
19105
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3180
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
35191
418.1 IPS |
|
|
Face Detection (Q)
|
100% |
49934
593.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7114
54.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
78221
602.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
126953
992.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20935
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
202358
260.1 IPS |
|
|
Style Transfer (Q)
|
96% |
250449
323.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4936
182.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33882
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57416
2.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
1938
2.59 KIPS |
|
|
Text Classification (Q)
|
93% |
2141
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3112
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6094
105.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7209
124.6 IPS |
