iPhone 15
Geekbench AI Score
3546
Single Precision Score
19839
Half Precision Score
22529
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 09:34 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1420
264.1 IPS |
|
|
Image Classification (HP)
|
100% |
9685
1.80 KIPS |
|
|
Image Classification (Q)
|
97% |
12263
2.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1478
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
11379
184.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
13527
219.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6780
7.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
95682
111.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
103622
121.5 IPS |
|
|
Object Detection (SP)
|
100% |
1600
126.9 IPS |
|
|
Object Detection (HP)
|
100% |
13078
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
14956
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
3374
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
31053
369.0 IPS |
|
|
Face Detection (Q)
|
100% |
38993
463.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6163
47.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
75336
580.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
96820
757.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18393
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
173960
223.6 IPS |
|
|
Style Transfer (Q)
|
96% |
172411
222.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4104
151.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33020
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38220
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
2598
3.47 KIPS |
|
|
Text Classification (HP)
|
100% |
2162
2.89 KIPS |
|
|
Text Classification (Q)
|
93% |
2289
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3393
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2358
40.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2301
39.8 IPS |
