iPhone 15 Plus
Geekbench AI Score
3481
Single Precision Score
6008
Half Precision Score
4890
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 14 2025 02:35 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% |
1447
269.1 IPS |
|
|
Image Classification (HP)
|
100% |
2515
467.8 IPS |
|
|
Image Classification (Q)
|
96% |
1741
325.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1474
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2172
35.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2704
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6681
7.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
14378
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12325
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1557
123.5 IPS |
|
|
Object Detection (HP)
|
97% |
2897
230.7 IPS |
|
|
Object Detection (Q)
|
94% |
2037
162.4 IPS |
|
|
Face Detection (SP)
|
100% |
3085
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
6063
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
3436
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6092
46.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12247
94.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8187
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18122
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27565
35.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23292
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3906
144.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4846
178.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3648
134.7 IPS |
|
|
Text Classification (SP)
|
100% |
2628
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4644
6.20 KIPS |
|
|
Text Classification (Q)
|
93% |
4660
6.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3370
58.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5856
101.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5946
102.7 IPS |
