iPhone 15
Geekbench AI Score
3409
Single Precision Score
6092
Half Precision Score
4930
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 03:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1374
255.5 IPS |
|
|
Image Classification (HP)
|
100% |
2542
472.7 IPS |
|
|
Image Classification (Q)
|
96% |
1742
325.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1449
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2641
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6451
7.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
14394
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12128
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1476
117.1 IPS |
|
|
Object Detection (HP)
|
97% |
2914
232.0 IPS |
|
|
Object Detection (Q)
|
94% |
2062
164.4 IPS |
|
|
Face Detection (SP)
|
100% |
3135
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
5995
71.2 IPS |
|
|
Face Detection (Q)
|
100% |
3318
39.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5611
43.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11418
88.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7814
61.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16854
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
28226
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23268
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3928
145.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5116
188.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3892
143.7 IPS |
|
|
Text Classification (SP)
|
100% |
2692
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4789
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4763
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3569
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6587
113.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6601
114.1 IPS |
