iPhone 15 Plus
Geekbench AI Score
3221
Single Precision Score
4895
Half Precision Score
4210
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Xabla |
| Upload Date | September 21 2024 09:44 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1480
275.2 IPS |
|
|
Image Classification (HP)
|
100% |
1937
360.1 IPS |
|
|
Image Classification (Q)
|
96% |
1470
274.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1260
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1249
20.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1886
30.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6189
7.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
14244
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12094
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (HP)
|
97% |
2271
180.8 IPS |
|
|
Object Detection (Q)
|
94% |
1724
137.4 IPS |
|
|
Face Detection (SP)
|
100% |
2795
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
4448
52.8 IPS |
|
|
Face Detection (Q)
|
100% |
2847
33.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5293
40.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
8640
66.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
6401
50.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16788
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26718
34.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22220
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3713
137.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4906
181.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3713
137.1 IPS |
|
|
Text Classification (SP)
|
100% |
2567
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
4381
5.85 KIPS |
|
|
Text Classification (Q)
|
93% |
4385
5.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2830
48.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4580
79.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4597
79.4 IPS |
