iPhone 15
Geekbench AI Score
3016
Single Precision Score
15581
Half Precision Score
21133
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 21 2025 07:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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 | 5.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1335
248.2 IPS |
|
|
Image Classification (HP)
|
100% |
7229
1.34 KIPS |
|
|
Image Classification (Q)
|
97% |
8575
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1254
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12074
195.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
18722
303.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4604
5.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
89021
103.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
93464
109.5 IPS |
|
|
Object Detection (SP)
|
100% |
1281
101.6 IPS |
|
|
Object Detection (HP)
|
100% |
5296
420.1 IPS |
|
|
Object Detection (Q)
|
91% |
12355
987.2 IPS |
|
|
Face Detection (SP)
|
100% |
2853
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
27457
326.2 IPS |
|
|
Face Detection (Q)
|
100% |
39391
468.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5182
39.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35750
275.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
66051
516.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15273
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
144414
185.6 IPS |
|
|
Style Transfer (Q)
|
96% |
147825
190.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3246
119.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14774
545.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21967
811.1 IPS |
|
|
Text Classification (SP)
|
100% |
2795
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
1643
2.19 KIPS |
|
|
Text Classification (Q)
|
93% |
1641
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3084
53.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5956
102.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6914
119.5 IPS |
