iPhone 15
Geekbench AI Score
3131
Single Precision Score
4811
Half Precision Score
4122
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 05:02 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1465
272.5 IPS |
|
|
Image Classification (HP)
|
100% |
1914
356.0 IPS |
|
|
Image Classification (Q)
|
96% |
1466
273.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1284
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1220
19.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1852
30.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5897
6.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
13706
16.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11723
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (HP)
|
97% |
2240
178.3 IPS |
|
|
Object Detection (Q)
|
94% |
1704
135.8 IPS |
|
|
Face Detection (SP)
|
100% |
2716
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
4379
52.0 IPS |
|
|
Face Detection (Q)
|
100% |
2783
33.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5071
39.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
8331
64.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
6290
49.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16441
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
25936
33.3 IPS |
|
|
Style Transfer (Q)
|
96% |
21518
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3455
127.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4936
182.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3581
132.2 IPS |
|
|
Text Classification (SP)
|
100% |
2564
3.42 KIPS |
|
|
Text Classification (HP)
|
100% |
4363
5.82 KIPS |
|
|
Text Classification (Q)
|
93% |
4299
5.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2691
46.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4551
78.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4504
77.8 IPS |
