iPhone 13
Geekbench AI Score
2734
Single Precision Score
5008
Half Precision Score
4057
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 12:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
901
167.5 IPS |
|
|
Image Classification (HP)
|
100% |
1838
341.8 IPS |
|
|
Image Classification (Q)
|
96% |
1296
242.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
887
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1575
25.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2094
33.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5257
6.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
12331
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
10260
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
1202
95.4 IPS |
|
|
Object Detection (HP)
|
97% |
2432
193.6 IPS |
|
|
Object Detection (Q)
|
94% |
1687
134.4 IPS |
|
|
Face Detection (SP)
|
100% |
2413
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
4970
59.0 IPS |
|
|
Face Detection (Q)
|
100% |
2748
32.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4905
37.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9946
76.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6853
53.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15737
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
24499
31.5 IPS |
|
|
Style Transfer (Q)
|
96% |
20174
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3482
128.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4535
167.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3245
119.8 IPS |
|
|
Text Classification (SP)
|
100% |
2362
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4065
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4058
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3021
52.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5123
88.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5144
88.9 IPS |
