iPhone 15
Geekbench AI Score
3176
Single Precision Score
3491
Half Precision Score
3200
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | chrisbench01 |
| Upload Date | December 14 2024 06:22 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% |
802
149.2 IPS |
|
|
Image Classification (HP)
|
100% |
1177
218.9 IPS |
|
|
Image Classification (Q)
|
97% |
960
179.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2473
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2525
40.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2440
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11805
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12485
14.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11491
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1371
108.7 IPS |
|
|
Object Detection (HP)
|
100% |
1331
105.6 IPS |
|
|
Object Detection (Q)
|
91% |
1114
89.0 IPS |
|
|
Face Detection (SP)
|
100% |
4344
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
4621
54.9 IPS |
|
|
Face Detection (Q)
|
100% |
3941
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8517
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8197
63.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7079
55.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21163
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23244
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21791
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3859
142.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3774
139.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3072
113.4 IPS |
|
|
Text Classification (SP)
|
100% |
2616
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4578
6.11 KIPS |
|
|
Text Classification (Q)
|
93% |
4581
6.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
412
7.10 IPS |
|
|
Machine Translation (HP)
|
100% |
358
6.17 IPS |
|
|
Machine Translation (Q)
|
98% |
440
7.60 IPS |
