iPhone 15 Plus
Geekbench AI Score
2769
Single Precision Score
3270
Half Precision Score
2782
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | NyaaKevin |
| Upload Date | December 19 2024 12:21 PM |
| Views | 5 |
| Notes | Low Power Mode 17C |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
796
148.0 IPS |
|
|
Image Classification (HP)
|
100% |
1083
201.5 IPS |
|
|
Image Classification (Q)
|
97% |
865
161.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2214
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2565
41.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2434
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11617
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12195
14.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11357
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1309
103.9 IPS |
|
|
Object Detection (HP)
|
100% |
1277
101.3 IPS |
|
|
Object Detection (Q)
|
91% |
1109
88.6 IPS |
|
|
Face Detection (SP)
|
100% |
3776
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
5668
67.3 IPS |
|
|
Face Detection (Q)
|
100% |
4197
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8207
63.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8925
68.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
5457
42.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21229
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23477
30.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21808
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3576
132.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3308
122.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2857
105.5 IPS |
|
|
Text Classification (SP)
|
100% |
1229
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
2118
2.83 KIPS |
|
|
Text Classification (Q)
|
93% |
2109
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
342
5.90 IPS |
|
|
Machine Translation (HP)
|
100% |
389
6.70 IPS |
|
|
Machine Translation (Q)
|
98% |
348
6.01 IPS |
