iPhone 13
Geekbench AI Score
1572
Single Precision Score
2593
Half Precision Score
2086
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 09:01 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
574
106.8 IPS |
|
|
Image Classification (HP)
|
100% |
1034
192.3 IPS |
|
|
Image Classification (Q)
|
96% |
715
133.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
697
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
987
16.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1141
18.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2934
3.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
6201
7.24 IPS |
|
|
Pose Estimation (Q)
|
95% |
5342
6.26 IPS |
|
|
Object Detection (SP)
|
100% |
639
50.7 IPS |
|
|
Object Detection (HP)
|
97% |
1144
91.1 IPS |
|
|
Object Detection (Q)
|
94% |
814
64.9 IPS |
|
|
Face Detection (SP)
|
100% |
1594
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
2631
31.3 IPS |
|
|
Face Detection (Q)
|
100% |
1478
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2457
18.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
4738
36.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
3231
25.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7826
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11841
15.2 IPS |
|
|
Style Transfer (Q)
|
96% |
9910
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1813
66.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2190
80.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1590
58.7 IPS |
|
|
Text Classification (SP)
|
100% |
1168
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
2022
2.70 KIPS |
|
|
Text Classification (Q)
|
93% |
2025
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1896
32.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2913
50.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2892
50.0 IPS |
