iPhone 15
Geekbench AI Score
3166
Single Precision Score
4854
Half Precision Score
3982
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 15 2024 03:36 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1446
269.0 IPS |
|
|
Image Classification (HP)
|
100% |
1903
353.9 IPS |
|
|
Image Classification (Q)
|
99% |
1901
354.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1243
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1229
19.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
1223
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6185
7.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
14286
16.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
11744
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1522
120.7 IPS |
|
|
Object Detection (HP)
|
97% |
2263
180.2 IPS |
|
|
Object Detection (Q)
|
94% |
1716
136.8 IPS |
|
|
Face Detection (SP)
|
100% |
2754
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
4453
52.9 IPS |
|
|
Face Detection (Q)
|
100% |
2798
33.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5125
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8542
66.0 IPS |
|
|
Depth Estimation (Q)
|
96% |
4248
32.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16648
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25968
33.4 IPS |
|
|
Style Transfer (Q)
|
100% |
25811
33.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3601
133.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4929
182.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3599
133.3 IPS |
|
|
Text Classification (SP)
|
100% |
2560
3.42 KIPS |
|
|
Text Classification (HP)
|
100% |
4394
5.87 KIPS |
|
|
Text Classification (Q)
|
93% |
4274
5.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2765
47.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4489
77.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4535
78.4 IPS |
