iPhone 15 Plus
Geekbench AI Score
2413
Single Precision Score
2660
Half Precision Score
961
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Xabla |
| Upload Date | September 21 2024 10:06 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
570
105.9 IPS |
|
|
Image Classification (HP)
|
100% |
1052
195.7 IPS |
|
|
Image Classification (Q)
|
97% |
821
153.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2049
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2478
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2396
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11284
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
11786
13.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
10916
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1152
91.4 IPS |
|
|
Object Detection (HP)
|
100% |
1196
94.9 IPS |
|
|
Object Detection (Q)
|
92% |
1155
92.2 IPS |
|
|
Face Detection (SP)
|
100% |
4740
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
3894
46.3 IPS |
|
|
Face Detection (Q)
|
100% |
3846
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8346
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9023
69.5 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
41.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20152
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22497
28.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21521
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3082
113.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3241
119.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2892
106.8 IPS |
|
|
Text Classification (SP)
|
100% |
329
439.2 IPS |
|
|
Text Classification (HP)
|
100% |
331
442.1 IPS |
|
|
Text Classification (Q)
|
93% |
216
289.3 IPS |
|
|
Machine Translation (SP)
|
100% |
546
9.40 IPS |
|
|
Machine Translation (HP)
|
100% |
570
9.82 IPS |
|
|
Machine Translation (Q)
|
98% |
524
9.05 IPS |
