iPhone 15
Geekbench AI Score
3289
Single Precision Score
5782
Half Precision Score
4640
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | justintea |
| Upload Date | December 12 2024 03:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1438
267.3 IPS |
|
|
Image Classification (HP)
|
100% |
2517
468.1 IPS |
|
|
Image Classification (Q)
|
96% |
1763
329.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1441
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2673
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6053
7.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
13221
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11234
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1439
114.1 IPS |
|
|
Object Detection (HP)
|
97% |
2824
224.8 IPS |
|
|
Object Detection (Q)
|
94% |
1954
155.8 IPS |
|
|
Face Detection (SP)
|
100% |
2966
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
5799
68.9 IPS |
|
|
Face Detection (Q)
|
100% |
3203
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5334
41.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11274
87.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7456
58.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16338
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
25813
33.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21052
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3654
134.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4708
173.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3457
127.7 IPS |
|
|
Text Classification (SP)
|
100% |
2621
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4695
6.27 KIPS |
|
|
Text Classification (Q)
|
93% |
4613
6.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3322
57.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5559
96.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5582
96.5 IPS |
