iPhone 15
Geekbench AI Score
3245
Single Precision Score
6053
Half Precision Score
4906
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 06 2026 02:59 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
1347
250.4 IPS |
|
|
Image Classification (HP)
|
100% |
2608
484.9 IPS |
|
|
Image Classification (Q)
|
96% |
1810
338.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1390
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2680
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5841
6.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
13808
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11537
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1365
108.3 IPS |
|
|
Object Detection (HP)
|
97% |
2849
226.8 IPS |
|
|
Object Detection (Q)
|
94% |
2037
162.4 IPS |
|
|
Face Detection (SP)
|
100% |
2975
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
5947
70.7 IPS |
|
|
Face Detection (Q)
|
100% |
3330
39.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5499
42.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11425
88.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7744
60.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16390
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27195
35.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22328
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3544
130.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5025
185.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3813
140.8 IPS |
|
|
Text Classification (SP)
|
100% |
2756
3.68 KIPS |
|
|
Text Classification (HP)
|
99% |
4776
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4743
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3319
57.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6828
118.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6812
117.7 IPS |
