iPhone 13
Geekbench AI Score
1703
Single Precision Score
10775
Half Precision Score
11504
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 11 2024 08:46 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPhone 13 |
| Model ID | iPhone14,5 |
| Motherboard | D17AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
918
170.7 IPS |
|
|
Image Classification (HP)
|
100% |
4952
920.9 IPS |
|
|
Image Classification (Q)
|
99% |
5869
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
591
9.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
3968
64.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
4009
65.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4878
5.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
74895
87.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
55323
64.9 IPS |
|
|
Object Detection (SP)
|
100% |
849
67.3 IPS |
|
|
Object Detection (HP)
|
99% |
5975
475.3 IPS |
|
|
Object Detection (Q)
|
93% |
6888
549.6 IPS |
|
|
Face Detection (SP)
|
100% |
1448
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
8419
100.0 IPS |
|
|
Face Detection (Q)
|
100% |
12384
147.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3009
23.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
37674
290.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
43832
338.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8117
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
112257
144.3 IPS |
|
|
Style Transfer (Q)
|
100% |
123447
158.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2429
89.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14879
549.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
14835
549.6 IPS |
|
|
Text Classification (SP)
|
100% |
910
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
2582
3.45 KIPS |
|
|
Text Classification (Q)
|
93% |
2634
3.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1172
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1755
30.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1730
29.9 IPS |
