iPhone 15 Plus
Geekbench AI Score
3109
Single Precision Score
5434
Half Precision Score
4345
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 08:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1440
267.8 IPS |
|
|
Image Classification (HP)
|
100% |
2523
469.3 IPS |
|
|
Image Classification (Q)
|
96% |
1680
313.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1428
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2049
33.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2441
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5249
6.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
11682
13.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
9945
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1317
104.5 IPS |
|
|
Object Detection (HP)
|
97% |
2602
207.2 IPS |
|
|
Object Detection (Q)
|
94% |
1823
145.3 IPS |
|
|
Face Detection (SP)
|
100% |
2877
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
5392
64.1 IPS |
|
|
Face Detection (Q)
|
100% |
2906
34.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5111
39.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10410
80.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6968
54.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15120
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23565
30.3 IPS |
|
|
Style Transfer (Q)
|
96% |
19630
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3303
122.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4428
163.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3305
122.0 IPS |
|
|
Text Classification (SP)
|
100% |
2606
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4581
6.11 KIPS |
|
|
Text Classification (Q)
|
93% |
4558
6.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3104
53.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5330
92.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5389
93.1 IPS |
