iPhone 13
Geekbench AI Score
2579
Single Precision Score
2874
Half Precision Score
2527
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 07:53 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
656
122.0 IPS |
|
|
Image Classification (HP)
|
100% |
902
167.8 IPS |
|
|
Image Classification (Q)
|
97% |
606
113.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1987
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1986
32.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2049
33.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9250
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10007
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9322
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1099
87.1 IPS |
|
|
Object Detection (HP)
|
100% |
979
77.6 IPS |
|
|
Object Detection (Q)
|
91% |
805
64.3 IPS |
|
|
Face Detection (SP)
|
100% |
4140
49.2 IPS |
|
|
Face Detection (HP)
|
100% |
4792
56.9 IPS |
|
|
Face Detection (Q)
|
100% |
3301
39.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6547
50.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6459
49.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
5828
45.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16716
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19360
24.9 IPS |
|
|
Style Transfer (Q)
|
96% |
17984
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2881
106.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2914
107.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2295
84.7 IPS |
|
|
Text Classification (SP)
|
100% |
2390
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4074
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4042
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
316
5.44 IPS |
|
|
Machine Translation (HP)
|
100% |
309
5.33 IPS |
|
|
Machine Translation (Q)
|
98% |
356
6.15 IPS |
