iPhone 15
Geekbench AI Score
3270
Single Precision Score
4930
Half Precision Score
4243
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6 |
| Model | iPhone 15 |
| Model ID | iPhone15,4 |
| Motherboard | D37AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1460
271.5 IPS |
|
|
Image Classification (HP)
|
100% |
1881
349.8 IPS |
|
|
Image Classification (Q)
|
96% |
1465
273.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1261
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1230
19.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1859
30.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6532
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
14761
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12606
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1568
124.4 IPS |
|
|
Object Detection (HP)
|
97% |
2288
182.2 IPS |
|
|
Object Detection (Q)
|
94% |
1736
138.4 IPS |
|
|
Face Detection (SP)
|
100% |
2876
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
4608
54.8 IPS |
|
|
Face Detection (Q)
|
100% |
2910
34.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5468
42.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
8716
67.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
6507
50.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17478
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26994
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22464
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3813
140.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4927
181.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3738
138.0 IPS |
|
|
Text Classification (SP)
|
100% |
2602
3.47 KIPS |
|
|
Text Classification (HP)
|
100% |
4362
5.82 KIPS |
|
|
Text Classification (Q)
|
93% |
4323
5.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2719
46.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4663
80.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4624
79.9 IPS |
