iPhone 15
Geekbench AI Score
3288
Single Precision Score
5756
Half Precision Score
4642
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 03:39 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1411
262.3 IPS |
|
|
Image Classification (HP)
|
100% |
2517
468.1 IPS |
|
|
Image Classification (Q)
|
96% |
1733
323.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1431
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2096
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2584
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5624
6.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
12570
14.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
10728
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1441
114.3 IPS |
|
|
Object Detection (HP)
|
97% |
2789
222.0 IPS |
|
|
Object Detection (Q)
|
94% |
1979
157.7 IPS |
|
|
Face Detection (SP)
|
100% |
3113
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
5669
67.4 IPS |
|
|
Face Detection (Q)
|
100% |
3206
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5571
42.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11623
89.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7800
61.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16498
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26346
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21699
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3646
134.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4864
179.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3526
130.2 IPS |
|
|
Text Classification (SP)
|
100% |
2617
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4613
6.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4552
6.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3311
57.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5547
95.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5617
97.1 IPS |
