iPhone 15
Geekbench AI Score
3546
Single Precision Score
22367
Half Precision Score
25604
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 27 2024 07:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1432
266.2 IPS |
|
|
Image Classification (HP)
|
100% |
10270
1.91 KIPS |
|
|
Image Classification (Q)
|
97% |
12589
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1474
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14564
236.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
18300
296.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6434
7.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
98978
115.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
103061
120.8 IPS |
|
|
Object Detection (SP)
|
100% |
1593
126.4 IPS |
|
|
Object Detection (HP)
|
100% |
12929
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14800
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3382
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
31630
375.8 IPS |
|
|
Face Detection (Q)
|
100% |
40239
478.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6052
46.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
75236
579.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
96318
753.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18768
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
172335
221.5 IPS |
|
|
Style Transfer (Q)
|
96% |
173312
223.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4168
153.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31175
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35440
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
2671
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (Q)
|
93% |
2386
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3398
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5589
96.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6068
104.9 IPS |
