iPhone 15
Geekbench AI Score
3470
Single Precision Score
6097
Half Precision Score
4938
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 09 2025 07:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1440
267.8 IPS |
|
|
Image Classification (HP)
|
100% |
2551
474.3 IPS |
|
|
Image Classification (Q)
|
96% |
1735
324.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1439
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2641
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6523
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
14459
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12253
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1551
123.0 IPS |
|
|
Object Detection (HP)
|
97% |
2897
230.6 IPS |
|
|
Object Detection (Q)
|
94% |
2059
164.1 IPS |
|
|
Face Detection (SP)
|
100% |
3161
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6043
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3344
39.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5910
45.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11490
88.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7916
61.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17299
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28194
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23487
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3932
145.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5098
188.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3853
142.3 IPS |
|
|
Text Classification (SP)
|
100% |
2683
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4787
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4758
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3547
61.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6559
113.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6547
113.1 IPS |
