iPhone 15
Geekbench AI Score
3291
Single Precision Score
3515
Half Precision Score
3034
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 03:46 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1222
227.3 IPS |
|
|
Image Classification (HP)
|
100% |
1183
220.0 IPS |
|
|
Image Classification (Q)
|
97% |
587
109.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2465
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2523
40.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2447
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11975
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
12384
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11489
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1399
111.0 IPS |
|
|
Object Detection (HP)
|
100% |
1305
103.5 IPS |
|
|
Object Detection (Q)
|
91% |
1161
92.8 IPS |
|
|
Face Detection (SP)
|
100% |
5367
63.8 IPS |
|
|
Face Detection (HP)
|
100% |
4953
58.9 IPS |
|
|
Face Detection (Q)
|
100% |
3981
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8225
63.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8948
68.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7132
55.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21542
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23316
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21849
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3640
134.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3756
138.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3223
119.0 IPS |
|
|
Text Classification (SP)
|
100% |
2674
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4580
6.11 KIPS |
|
|
Text Classification (Q)
|
93% |
4582
6.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
320
5.51 IPS |
|
|
Machine Translation (HP)
|
100% |
336
5.79 IPS |
|
|
Machine Translation (Q)
|
98% |
377
6.52 IPS |
