iPhone 15
Geekbench AI Score
3360
Single Precision Score
5837
Half Precision Score
4717
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 10:44 AM |
| Views | 1 |
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% |
1456
270.7 IPS |
|
|
Image Classification (HP)
|
100% |
2509
466.6 IPS |
|
|
Image Classification (Q)
|
96% |
1751
326.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1455
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2619
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5999
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
13239
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11210
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1460
115.8 IPS |
|
|
Object Detection (HP)
|
97% |
2836
225.8 IPS |
|
|
Object Detection (Q)
|
94% |
1968
156.9 IPS |
|
|
Face Detection (SP)
|
100% |
3170
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
5823
69.2 IPS |
|
|
Face Detection (Q)
|
100% |
3250
38.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5700
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11535
89.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7819
61.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16916
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26433
34.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21942
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3652
134.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4786
176.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3586
132.4 IPS |
|
|
Text Classification (SP)
|
100% |
2623
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4569
6.10 KIPS |
|
|
Text Classification (Q)
|
93% |
4690
6.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3384
58.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5883
101.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5758
99.5 IPS |
