iPhone 15
Geekbench AI Score
2967
Single Precision Score
3532
Half Precision Score
3114
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | justintea |
| Upload Date | December 01 2024 05:57 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 15 |
| Model ID | iPhone15,4 |
| Motherboard | D37AP |
| 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 | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
667
124.0 IPS |
|
|
Image Classification (HP)
|
100% |
1125
209.2 IPS |
|
|
Image Classification (Q)
|
97% |
926
172.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2449
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2504
40.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2530
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11788
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12389
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11450
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1384
109.8 IPS |
|
|
Object Detection (HP)
|
100% |
1334
105.8 IPS |
|
|
Object Detection (Q)
|
91% |
1182
94.4 IPS |
|
|
Face Detection (SP)
|
100% |
4331
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
5983
71.1 IPS |
|
|
Face Detection (Q)
|
100% |
3702
44.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8351
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8512
65.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7070
55.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21456
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
23167
29.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22035
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2705
99.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3643
134.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2937
108.4 IPS |
|
|
Text Classification (SP)
|
100% |
2562
3.42 KIPS |
|
|
Text Classification (HP)
|
100% |
4484
5.99 KIPS |
|
|
Text Classification (Q)
|
93% |
4546
6.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
369
6.35 IPS |
|
|
Machine Translation (HP)
|
100% |
337
5.81 IPS |
|
|
Machine Translation (Q)
|
98% |
352
6.09 IPS |
