iPhone 15
Geekbench AI Score
3221
Single Precision Score
4852
Half Precision Score
4199
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6 |
| 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% |
1461
271.7 IPS |
|
|
Image Classification (HP)
|
100% |
1911
355.3 IPS |
|
|
Image Classification (Q)
|
96% |
1474
275.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1276
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1229
19.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1856
30.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6248
7.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
14305
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12267
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1548
122.8 IPS |
|
|
Object Detection (HP)
|
97% |
2247
178.9 IPS |
|
|
Object Detection (Q)
|
94% |
1726
137.6 IPS |
|
|
Face Detection (SP)
|
100% |
2848
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
4504
53.5 IPS |
|
|
Face Detection (Q)
|
100% |
2876
34.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5337
41.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
8504
65.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
6499
50.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17035
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26404
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22117
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3723
137.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4769
176.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3616
133.5 IPS |
|
|
Text Classification (SP)
|
100% |
2566
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
4305
5.75 KIPS |
|
|
Text Classification (Q)
|
93% |
4298
5.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2699
46.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4621
79.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4589
79.3 IPS |
