iPhone 13
Geekbench AI Score
1594
Single Precision Score
2637
Half Precision Score
2114
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 10:02 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% |
595
110.7 IPS |
|
|
Image Classification (HP)
|
100% |
1047
194.7 IPS |
|
|
Image Classification (Q)
|
96% |
722
134.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
714
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
992
16.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1145
18.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2991
3.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
6374
7.44 IPS |
|
|
Pose Estimation (Q)
|
95% |
5470
6.41 IPS |
|
|
Object Detection (SP)
|
100% |
653
51.8 IPS |
|
|
Object Detection (HP)
|
97% |
1222
97.3 IPS |
|
|
Object Detection (Q)
|
94% |
852
67.9 IPS |
|
|
Face Detection (SP)
|
100% |
1629
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
2663
31.6 IPS |
|
|
Face Detection (Q)
|
100% |
1484
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2511
19.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
4893
37.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
3305
25.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7911
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12074
15.5 IPS |
|
|
Style Transfer (Q)
|
96% |
10071
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1800
66.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2178
80.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1599
59.0 IPS |
|
|
Text Classification (SP)
|
100% |
1160
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
2023
2.70 KIPS |
|
|
Text Classification (Q)
|
93% |
2017
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1893
32.6 IPS |
|
|
Machine Translation (HP)
|
98% |
2905
50.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2912
50.3 IPS |
