iPhone 15 Plus
Geekbench AI Score
3183
Single Precision Score
3295
Half Precision Score
3133
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | NyaaKevin |
| Upload Date | December 19 2024 12:12 PM |
| Views | 6 |
| Notes | 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% |
779
144.9 IPS |
|
|
Image Classification (HP)
|
100% |
725
134.8 IPS |
|
|
Image Classification (Q)
|
97% |
953
177.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2435
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2528
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2425
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12036
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
12337
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11461
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1351
107.2 IPS |
|
|
Object Detection (HP)
|
100% |
1269
100.6 IPS |
|
|
Object Detection (Q)
|
91% |
1210
96.7 IPS |
|
|
Face Detection (SP)
|
100% |
5362
63.7 IPS |
|
|
Face Detection (HP)
|
100% |
4338
51.5 IPS |
|
|
Face Detection (Q)
|
100% |
3993
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8199
63.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7933
61.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7210
56.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21098
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23193
29.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21500
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3954
146.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3722
137.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2854
105.4 IPS |
|
|
Text Classification (SP)
|
100% |
2642
3.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4641
6.19 KIPS |
|
|
Text Classification (Q)
|
93% |
4586
6.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
358
6.16 IPS |
|
|
Machine Translation (HP)
|
100% |
382
6.58 IPS |
|
|
Machine Translation (Q)
|
98% |
352
6.09 IPS |
