iPhone 15
Geekbench AI Score
3153
Single Precision Score
5607
Half Precision Score
4528
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 24 2025 07:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1436
267.1 IPS |
|
|
Image Classification (HP)
|
100% |
2528
470.1 IPS |
|
|
Image Classification (Q)
|
96% |
1753
327.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1424
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2594
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5779
6.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
12882
15.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
10807
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
1423
112.9 IPS |
|
|
Object Detection (HP)
|
97% |
2773
220.7 IPS |
|
|
Object Detection (Q)
|
94% |
1923
153.2 IPS |
|
|
Face Detection (SP)
|
100% |
2882
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
5509
65.5 IPS |
|
|
Face Detection (Q)
|
100% |
3039
36.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5304
40.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10830
83.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7157
56.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14180
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20839
26.8 IPS |
|
|
Style Transfer (Q)
|
96% |
19122
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3169
117.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4772
176.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3372
124.5 IPS |
|
|
Text Classification (SP)
|
100% |
2655
3.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4616
6.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4561
6.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3174
54.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5890
101.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6005
103.8 IPS |
