iPhone 15 Plus
Geekbench AI Score
3497
Single Precision Score
6015
Half Precision Score
4873
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 06:34 AM |
| 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% |
1461
271.7 IPS |
|
|
Image Classification (HP)
|
100% |
2559
475.9 IPS |
|
|
Image Classification (Q)
|
96% |
1757
328.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1480
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2181
35.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2702
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6532
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
14282
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12119
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1538
122.0 IPS |
|
|
Object Detection (HP)
|
97% |
2892
230.3 IPS |
|
|
Object Detection (Q)
|
94% |
2034
162.1 IPS |
|
|
Face Detection (SP)
|
100% |
3261
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
6093
72.4 IPS |
|
|
Face Detection (Q)
|
100% |
3437
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5987
46.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11970
92.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8106
63.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17967
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27543
35.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23167
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4025
148.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4925
181.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3686
136.1 IPS |
|
|
Text Classification (SP)
|
100% |
2631
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4605
6.15 KIPS |
|
|
Text Classification (Q)
|
93% |
4633
6.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3390
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5910
102.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5860
101.3 IPS |
