iPhone 15
Geekbench AI Score
3202
Single Precision Score
4871
Half Precision Score
4029
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | IAMTESTING |
| Upload Date | August 15 2024 08:31 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
1463
272.1 IPS |
|
|
Image Classification (HP)
|
100% |
1896
352.7 IPS |
|
|
Image Classification (Q)
|
99% |
1884
351.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1267
20.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
1235
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6180
7.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
14116
16.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
11962
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1547
122.7 IPS |
|
|
Object Detection (HP)
|
97% |
2253
179.3 IPS |
|
|
Object Detection (Q)
|
94% |
1722
137.3 IPS |
|
|
Face Detection (SP)
|
100% |
2805
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
4482
53.3 IPS |
|
|
Face Detection (Q)
|
100% |
2828
33.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5211
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8546
66.0 IPS |
|
|
Depth Estimation (Q)
|
96% |
4361
33.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16871
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26453
34.0 IPS |
|
|
Style Transfer (Q)
|
100% |
26193
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3718
137.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4809
177.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3678
136.3 IPS |
|
|
Text Classification (SP)
|
100% |
2573
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
4353
5.81 KIPS |
|
|
Text Classification (Q)
|
93% |
4270
5.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2651
45.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4646
80.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4643
80.2 IPS |
