iPhone 15
Geekbench AI Score
3477
Single Precision Score
5979
Half Precision Score
5175
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | RostikLv |
| Upload Date | August 18 2024 07:36 PM |
| Views | 7 |
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% |
1450
269.7 IPS |
|
|
Image Classification (HP)
|
100% |
2564
476.8 IPS |
|
|
Image Classification (Q)
|
99% |
2557
477.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1526
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2257
36.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
2159
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6460
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
14362
16.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
11843
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
97% |
2868
228.3 IPS |
|
|
Object Detection (Q)
|
94% |
2024
161.3 IPS |
|
|
Face Detection (SP)
|
100% |
3227
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
6067
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
3413
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6005
46.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11535
89.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
11776
91.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17678
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26886
34.6 IPS |
|
|
Style Transfer (Q)
|
100% |
27366
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3933
145.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4899
180.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3605
133.6 IPS |
|
|
Text Classification (SP)
|
100% |
2610
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4575
6.11 KIPS |
|
|
Text Classification (Q)
|
93% |
4528
6.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3385
58.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5808
100.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5801
100.3 IPS |
