iPhone 15 Plus
Geekbench AI Score
3106
Single Precision Score
3644
Half Precision Score
3148
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 02:27 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
700
130.3 IPS |
|
|
Image Classification (HP)
|
100% |
1202
223.5 IPS |
|
|
Image Classification (Q)
|
97% |
597
111.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2449
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2641
42.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2531
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11952
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
12588
14.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11460
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1374
109.0 IPS |
|
|
Object Detection (HP)
|
100% |
1409
111.8 IPS |
|
|
Object Detection (Q)
|
91% |
1669
133.4 IPS |
|
|
Face Detection (SP)
|
100% |
4247
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
6110
72.6 IPS |
|
|
Face Detection (Q)
|
100% |
3998
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8360
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8550
65.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7307
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21287
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23169
29.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21661
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3915
144.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3749
138.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3144
116.1 IPS |
|
|
Text Classification (SP)
|
100% |
2608
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4574
6.10 KIPS |
|
|
Text Classification (Q)
|
93% |
4558
6.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
385
6.64 IPS |
|
|
Machine Translation (HP)
|
100% |
354
6.10 IPS |
|
|
Machine Translation (Q)
|
98% |
365
6.30 IPS |
