iPhone 15
Geekbench AI Score
2572
Single Precision Score
2954
Half Precision Score
1021
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 07:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7.2 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
641
119.1 IPS |
|
|
Image Classification (HP)
|
100% |
1208
224.6 IPS |
|
|
Image Classification (Q)
|
97% |
824
153.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2527
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2559
41.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2492
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11689
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12407
14.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
11097
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1343
106.6 IPS |
|
|
Object Detection (HP)
|
100% |
1273
101.0 IPS |
|
|
Object Detection (Q)
|
92% |
1233
98.4 IPS |
|
|
Face Detection (SP)
|
100% |
4225
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
5982
71.1 IPS |
|
|
Face Detection (Q)
|
100% |
3620
43.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7875
60.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8837
68.1 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
54.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21199
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23281
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21241
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3475
128.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3589
132.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3093
114.2 IPS |
|
|
Text Classification (SP)
|
100% |
367
490.1 IPS |
|
|
Text Classification (HP)
|
100% |
366
488.3 IPS |
|
|
Text Classification (Q)
|
93% |
223
299.0 IPS |
|
|
Machine Translation (SP)
|
100% |
554
9.55 IPS |
|
|
Machine Translation (HP)
|
100% |
642
11.1 IPS |
|
|
Machine Translation (Q)
|
98% |
830
14.3 IPS |
