iPhone 15
Geekbench AI Score
3385
Single Precision Score
5906
Half Precision Score
4734
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 02:54 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1446
268.9 IPS |
|
|
Image Classification (HP)
|
100% |
2533
471.1 IPS |
|
|
Image Classification (Q)
|
96% |
1724
322.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1468
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2158
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2695
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6324
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
13935
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11657
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1496
118.7 IPS |
|
|
Object Detection (HP)
|
97% |
2856
227.4 IPS |
|
|
Object Detection (Q)
|
94% |
2000
159.4 IPS |
|
|
Face Detection (SP)
|
100% |
3203
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
5893
70.0 IPS |
|
|
Face Detection (Q)
|
100% |
3278
38.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5703
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11678
90.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7895
61.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17321
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26790
34.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22138
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3729
137.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4868
179.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3480
128.5 IPS |
|
|
Text Classification (SP)
|
100% |
2611
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4670
6.23 KIPS |
|
|
Text Classification (Q)
|
93% |
4593
6.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3199
55.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5663
97.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5702
98.5 IPS |
