iPhone 15 Plus
Geekbench AI Score
3538
Single Precision Score
6065
Half Precision Score
4906
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 04 2025 01:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 15 Plus |
| Model ID | iPhone15,5 |
| Motherboard | D38AP |
| 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% |
1439
267.7 IPS |
|
|
Image Classification (HP)
|
100% |
2562
476.4 IPS |
|
|
Image Classification (Q)
|
96% |
1763
329.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1518
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2190
35.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2693
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6805
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
14740
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12578
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1564
124.1 IPS |
|
|
Object Detection (HP)
|
97% |
2893
230.3 IPS |
|
|
Object Detection (Q)
|
94% |
2057
164.0 IPS |
|
|
Face Detection (SP)
|
100% |
3213
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
6081
72.3 IPS |
|
|
Face Detection (Q)
|
100% |
3450
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6111
47.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12122
93.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8221
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18558
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27943
35.9 IPS |
|
|
Style Transfer (Q)
|
96% |
23492
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4042
149.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4987
184.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3639
134.4 IPS |
|
|
Text Classification (SP)
|
100% |
2649
3.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4682
6.25 KIPS |
|
|
Text Classification (Q)
|
93% |
4641
6.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3389
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5861
101.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5848
101.1 IPS |
