iPhone 15
Geekbench AI Score
3523
Single Precision Score
22604
Half Precision Score
25733
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 06:31 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1431
266.0 IPS |
|
|
Image Classification (HP)
|
100% |
9770
1.82 KIPS |
|
|
Image Classification (Q)
|
97% |
12721
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1461
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13938
225.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
18255
295.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6532
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
95623
111.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
101900
119.4 IPS |
|
|
Object Detection (SP)
|
100% |
1604
127.2 IPS |
|
|
Object Detection (HP)
|
100% |
13026
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14962
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
3269
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
30793
365.9 IPS |
|
|
Face Detection (Q)
|
100% |
39807
473.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6096
47.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
75671
583.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
95594
747.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18436
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
175108
225.1 IPS |
|
|
Style Transfer (Q)
|
96% |
172910
223.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4109
151.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32973
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37310
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
2616
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2077
2.77 KIPS |
|
|
Text Classification (Q)
|
93% |
1807
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3406
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7349
126.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8109
140.1 IPS |
