iPhone 15 Plus
Geekbench AI Score
3112
Single Precision Score
3418
Half Precision Score
3071
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 07:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
808
150.2 IPS |
|
|
Image Classification (HP)
|
100% |
1118
207.9 IPS |
|
|
Image Classification (Q)
|
97% |
635
118.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2467
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2528
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2532
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11862
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12377
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11496
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1415
112.2 IPS |
|
|
Object Detection (HP)
|
100% |
1257
99.7 IPS |
|
|
Object Detection (Q)
|
91% |
1132
90.5 IPS |
|
|
Face Detection (SP)
|
100% |
3859
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
4553
54.1 IPS |
|
|
Face Detection (Q)
|
100% |
3925
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8667
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8458
65.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7261
56.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21182
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23292
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21776
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3862
142.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3582
132.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3050
112.6 IPS |
|
|
Text Classification (SP)
|
100% |
2639
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4602
6.14 KIPS |
|
|
Text Classification (Q)
|
93% |
4718
6.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
353
6.08 IPS |
|
|
Machine Translation (HP)
|
100% |
335
5.77 IPS |
|
|
Machine Translation (Q)
|
98% |
400
6.91 IPS |
