iPhone 15
Geekbench AI Score
3585
Single Precision Score
6113
Half Precision Score
4960
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 13 2024 04:52 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1417
263.5 IPS |
|
|
Image Classification (HP)
|
100% |
2533
471.0 IPS |
|
|
Image Classification (Q)
|
96% |
1743
325.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1485
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2170
35.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2703
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7072
8.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
15173
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12959
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1614
128.1 IPS |
|
|
Object Detection (HP)
|
97% |
2927
233.0 IPS |
|
|
Object Detection (Q)
|
94% |
2060
164.2 IPS |
|
|
Face Detection (SP)
|
100% |
3264
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
6225
74.0 IPS |
|
|
Face Detection (Q)
|
100% |
3539
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6338
48.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12340
95.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8288
64.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18847
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28315
36.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23700
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4157
153.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4954
182.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3722
137.4 IPS |
|
|
Text Classification (SP)
|
100% |
2621
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4663
6.22 KIPS |
|
|
Text Classification (Q)
|
93% |
4645
6.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3444
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5950
102.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5963
103.1 IPS |
