iPhone 15
Geekbench AI Score
3327
Single Precision Score
5827
Half Precision Score
4698
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 09:33 PM |
| Views | 1 |
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% |
1399
260.2 IPS |
|
|
Image Classification (HP)
|
100% |
2537
471.8 IPS |
|
|
Image Classification (Q)
|
96% |
1739
324.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1453
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2145
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2669
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5979
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
13366
15.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11170
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1459
115.7 IPS |
|
|
Object Detection (HP)
|
97% |
2816
224.2 IPS |
|
|
Object Detection (Q)
|
94% |
1980
157.8 IPS |
|
|
Face Detection (SP)
|
100% |
3085
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
5850
69.5 IPS |
|
|
Face Detection (Q)
|
100% |
3252
38.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5546
42.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11478
88.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7717
60.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16935
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26282
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21889
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3724
137.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4800
177.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3588
132.5 IPS |
|
|
Text Classification (SP)
|
100% |
2608
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4595
6.13 KIPS |
|
|
Text Classification (Q)
|
93% |
4541
6.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3335
57.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5668
97.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5701
98.5 IPS |
