iPhone 15
Geekbench AI Score
3038
Single Precision Score
4649
Half Precision Score
4002
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 01:33 PM |
| Views | 2 |
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% |
1463
272.1 IPS |
|
|
Image Classification (HP)
|
100% |
1916
356.4 IPS |
|
|
Image Classification (Q)
|
96% |
1473
275.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1245
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1204
19.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1829
29.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5672
6.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
13104
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11138
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1450
115.0 IPS |
|
|
Object Detection (HP)
|
97% |
2146
170.9 IPS |
|
|
Object Detection (Q)
|
94% |
1641
130.8 IPS |
|
|
Face Detection (SP)
|
100% |
2658
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
4217
50.1 IPS |
|
|
Face Detection (Q)
|
100% |
2660
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4857
37.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
8019
62.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
5873
45.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15308
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
24414
31.4 IPS |
|
|
Style Transfer (Q)
|
96% |
20328
26.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3364
124.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4665
172.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3535
130.5 IPS |
|
|
Text Classification (SP)
|
100% |
2525
3.37 KIPS |
|
|
Text Classification (HP)
|
100% |
4252
5.68 KIPS |
|
|
Text Classification (Q)
|
93% |
4277
5.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2665
45.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4448
76.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4458
77.0 IPS |
