iPhone 15
Geekbench AI Score
3595
Single Precision Score
22808
Half Precision Score
26777
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | DavidCool1 |
| Upload Date | January 22 2025 03:12 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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 | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1426
265.2 IPS |
|
|
Image Classification (HP)
|
100% |
10557
1.96 KIPS |
|
|
Image Classification (Q)
|
97% |
12701
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1463
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13749
222.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
18317
296.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7046
8.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
99089
115.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
102268
119.9 IPS |
|
|
Object Detection (SP)
|
100% |
1628
129.1 IPS |
|
|
Object Detection (HP)
|
100% |
13038
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14727
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3248
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
31005
368.4 IPS |
|
|
Face Detection (Q)
|
100% |
39938
474.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6205
47.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
75163
579.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
97763
764.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19276
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
171499
220.5 IPS |
|
|
Style Transfer (Q)
|
96% |
173405
223.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4265
157.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31597
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37395
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
2635
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
2221
2.96 KIPS |
|
|
Text Classification (Q)
|
93% |
2610
3.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3453
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7245
124.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8187
141.5 IPS |
