iPhone 15
Geekbench AI Score
3460
Single Precision Score
6056
Half Precision Score
4796
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | krish1108 |
| Upload Date | February 27 2025 12:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1445
268.7 IPS |
|
|
Image Classification (HP)
|
100% |
2547
473.7 IPS |
|
|
Image Classification (Q)
|
96% |
1750
326.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1467
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2190
35.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2700
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6389
7.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
14088
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
10237
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
1457
115.6 IPS |
|
|
Object Detection (HP)
|
97% |
2894
230.4 IPS |
|
|
Object Detection (Q)
|
94% |
2054
163.7 IPS |
|
|
Face Detection (SP)
|
100% |
3193
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6027
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
3342
39.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5757
44.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11988
92.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8020
62.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17939
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27942
35.9 IPS |
|
|
Style Transfer (Q)
|
96% |
23112
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3964
146.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5157
190.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3717
137.3 IPS |
|
|
Text Classification (SP)
|
100% |
2659
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4727
6.31 KIPS |
|
|
Text Classification (Q)
|
93% |
4724
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3593
61.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5930
102.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5958
103.0 IPS |
