iPhone 13
Geekbench AI Score
2180
Single Precision Score
2237
Half Precision Score
1930
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | compaqdrew |
| Upload Date | August 18 2024 10:43 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
923
171.7 IPS |
|
|
Image Classification (HP)
|
100% |
563
104.6 IPS |
|
|
Image Classification (Q)
|
99% |
432
80.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1976
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1969
31.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
1954
31.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9139
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9854
11.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
8976
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
829
65.8 IPS |
|
|
Object Detection (HP)
|
100% |
933
74.0 IPS |
|
|
Object Detection (Q)
|
92% |
749
59.8 IPS |
|
|
Face Detection (SP)
|
100% |
3063
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
3259
38.7 IPS |
|
|
Face Detection (Q)
|
100% |
3041
36.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7093
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7607
58.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
7689
59.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16434
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18953
24.4 IPS |
|
|
Style Transfer (Q)
|
100% |
18974
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2619
96.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2904
107.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2332
86.4 IPS |
|
|
Text Classification (SP)
|
100% |
363
485.0 IPS |
|
|
Text Classification (HP)
|
100% |
353
471.5 IPS |
|
|
Text Classification (Q)
|
93% |
203
272.8 IPS |
|
|
Machine Translation (SP)
|
100% |
517
8.91 IPS |
|
|
Machine Translation (HP)
|
100% |
640
11.0 IPS |
|
|
Machine Translation (Q)
|
98% |
603
10.4 IPS |
