iPhone 13
Geekbench AI Score
3314
Single Precision Score
20693
Half Precision Score
23704
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 03 2025 08:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1348
250.7 IPS |
|
|
Image Classification (HP)
|
100% |
8755
1.63 KIPS |
|
|
Image Classification (Q)
|
96% |
10961
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12551
203.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
15280
247.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6602
7.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
89323
104.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
96486
113.1 IPS |
|
|
Object Detection (SP)
|
100% |
1461
115.9 IPS |
|
|
Object Detection (HP)
|
99% |
11187
889.9 IPS |
|
|
Object Detection (Q)
|
91% |
12150
970.8 IPS |
|
|
Face Detection (SP)
|
100% |
2799
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
28592
339.7 IPS |
|
|
Face Detection (Q)
|
100% |
36316
431.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5370
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
58698
452.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
82968
648.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17696
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
162703
209.2 IPS |
|
|
Style Transfer (Q)
|
96% |
170903
220.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3883
143.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29240
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28917
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2453
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2537
3.39 KIPS |
|
|
Text Classification (Q)
|
93% |
2591
3.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3714
64.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6475
111.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7394
127.8 IPS |
