iPhone 15
Geekbench AI Score
3375
Single Precision Score
23673
Half Precision Score
27408
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 03:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
10199
1.90 KIPS |
|
|
Image Classification (Q)
|
97% |
12944
2.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1426
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14099
228.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
19441
315.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5878
6.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
98313
114.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105113
123.2 IPS |
|
|
Object Detection (SP)
|
100% |
1516
120.2 IPS |
|
|
Object Detection (HP)
|
100% |
13205
1.05 KIPS |
|
|
Object Detection (Q)
|
91% |
15047
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
3013
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
31977
380.0 IPS |
|
|
Face Detection (Q)
|
100% |
40110
476.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5736
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
75959
585.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
96745
756.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16450
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
178569
229.6 IPS |
|
|
Style Transfer (Q)
|
96% |
180989
233.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3848
142.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32099
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36819
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
2695
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
2801
3.74 KIPS |
|
|
Text Classification (Q)
|
93% |
2751
3.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3557
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7594
130.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8451
146.0 IPS |
