iPhone 15
Geekbench AI Score
3321
Single Precision Score
23675
Half Precision Score
27092
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 16 2025 09:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1434
266.7 IPS |
|
|
Image Classification (HP)
|
100% |
10193
1.90 KIPS |
|
|
Image Classification (Q)
|
97% |
12952
2.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1451
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13744
222.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19445
315.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6144
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
100837
117.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105419
123.6 IPS |
|
|
Object Detection (SP)
|
100% |
1540
122.2 IPS |
|
|
Object Detection (HP)
|
100% |
12951
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14671
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3213
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
31988
380.1 IPS |
|
|
Face Detection (Q)
|
100% |
40290
478.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5655
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
75454
581.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
95139
743.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11816
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
183837
236.3 IPS |
|
|
Style Transfer (Q)
|
96% |
180084
232.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4061
150.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33103
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38233
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
2679
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
2653
3.54 KIPS |
|
|
Text Classification (Q)
|
93% |
2406
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3549
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7762
133.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8614
148.9 IPS |
