iPhone 15 Plus
Geekbench AI Score
3584
Single Precision Score
6118
Half Precision Score
4965
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | NyaaKevin |
| Upload Date | December 19 2024 12:04 PM |
| Views | 5 |
| Notes | 17C |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1454
270.5 IPS |
|
|
Image Classification (HP)
|
100% |
2531
470.7 IPS |
|
|
Image Classification (Q)
|
96% |
1737
324.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1465
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2198
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2710
43.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7177
8.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
15221
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13189
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1599
126.8 IPS |
|
|
Object Detection (HP)
|
97% |
2925
232.9 IPS |
|
|
Object Detection (Q)
|
94% |
2081
165.9 IPS |
|
|
Face Detection (SP)
|
100% |
3296
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
6204
73.7 IPS |
|
|
Face Detection (Q)
|
100% |
3535
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6229
48.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12423
96.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8342
65.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18901
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28239
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23745
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4148
153.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4893
180.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3706
136.8 IPS |
|
|
Text Classification (SP)
|
100% |
2620
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4707
6.28 KIPS |
|
|
Text Classification (Q)
|
93% |
4582
6.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3395
58.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5923
102.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5930
102.5 IPS |
