iPhone 13
Geekbench AI Score
3263
Single Precision Score
18306
Half Precision Score
20622
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 18 2025 02:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 3.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1309
243.3 IPS |
|
|
Image Classification (HP)
|
100% |
7309
1.36 KIPS |
|
|
Image Classification (Q)
|
96% |
9281
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1328
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12018
194.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
15531
251.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6184
7.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
81241
94.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
89663
105.1 IPS |
|
|
Object Detection (SP)
|
100% |
1421
112.7 IPS |
|
|
Object Detection (HP)
|
99% |
10390
826.5 IPS |
|
|
Object Detection (Q)
|
91% |
11870
948.5 IPS |
|
|
Face Detection (SP)
|
100% |
2800
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
28434
337.9 IPS |
|
|
Face Detection (Q)
|
100% |
35972
427.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5367
41.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
57640
444.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
64905
507.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17135
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
146573
188.4 IPS |
|
|
Style Transfer (Q)
|
96% |
151692
195.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3778
139.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28372
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28128
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2461
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
1317
1.76 KIPS |
|
|
Text Classification (Q)
|
93% |
1261
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3742
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6353
109.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7218
124.7 IPS |
