iPhone 15
Geekbench AI Score
3276
Single Precision Score
3364
Half Precision Score
3189
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | yasin9300 |
| Upload Date | December 22 2024 09:40 AM |
| Views | 2 |
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% |
1223
227.5 IPS |
|
|
Image Classification (HP)
|
100% |
736
136.8 IPS |
|
|
Image Classification (Q)
|
97% |
979
182.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2471
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2501
40.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2649
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11755
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12500
14.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11560
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1395
110.6 IPS |
|
|
Object Detection (HP)
|
100% |
1323
105.0 IPS |
|
|
Object Detection (Q)
|
91% |
1162
92.8 IPS |
|
|
Face Detection (SP)
|
100% |
4348
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
4707
55.9 IPS |
|
|
Face Detection (Q)
|
100% |
3967
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8350
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8656
66.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7086
55.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21564
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23464
30.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21635
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3890
143.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3847
142.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3225
119.1 IPS |
|
|
Text Classification (SP)
|
100% |
2613
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4590
6.13 KIPS |
|
|
Text Classification (Q)
|
93% |
4611
6.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
362
6.24 IPS |
|
|
Machine Translation (HP)
|
100% |
362
6.23 IPS |
|
|
Machine Translation (Q)
|
98% |
346
5.98 IPS |
