iPhone 15
Geekbench AI Score
3382
Single Precision Score
6009
Half Precision Score
4868
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | MidniteMarv |
| Upload Date | May 21 2025 01:19 AM |
| Views | 5 |
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% |
1441
268.0 IPS |
|
|
Image Classification (HP)
|
100% |
2528
470.1 IPS |
|
|
Image Classification (Q)
|
96% |
1750
326.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1440
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2622
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6312
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
13914
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11650
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1509
119.7 IPS |
|
|
Object Detection (HP)
|
97% |
2867
228.2 IPS |
|
|
Object Detection (Q)
|
94% |
2027
161.5 IPS |
|
|
Face Detection (SP)
|
100% |
3046
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
5890
70.0 IPS |
|
|
Face Detection (Q)
|
100% |
3257
38.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5684
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11258
87.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7736
60.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16504
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27812
35.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22842
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3765
139.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5068
187.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3802
140.4 IPS |
|
|
Text Classification (SP)
|
100% |
2678
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4813
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4916
6.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3441
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6381
110.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6414
110.8 IPS |
