iPhone 13
Geekbench AI Score
2963
Single Precision Score
17930
Half Precision Score
20806
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 08 2024 08:20 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 3.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1357
252.3 IPS |
|
|
Image Classification (HP)
|
100% |
7933
1.48 KIPS |
|
|
Image Classification (Q)
|
96% |
8881
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1322
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12410
201.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
15010
243.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5434
6.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
86672
101.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
93415
109.5 IPS |
|
|
Object Detection (SP)
|
100% |
1394
110.6 IPS |
|
|
Object Detection (HP)
|
99% |
10222
813.2 IPS |
|
|
Object Detection (Q)
|
91% |
11715
936.0 IPS |
|
|
Face Detection (SP)
|
100% |
2629
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
25182
299.2 IPS |
|
|
Face Detection (Q)
|
100% |
32646
387.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4861
37.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
51682
398.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
70891
554.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13759
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
150389
193.3 IPS |
|
|
Style Transfer (Q)
|
96% |
152021
196.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3093
114.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26718
986.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28612
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2408
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
1709
2.28 KIPS |
|
|
Text Classification (Q)
|
93% |
2151
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2939
50.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4407
75.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4813
83.2 IPS |
