iPhone 13
Geekbench AI Score
3072
Single Precision Score
5355
Half Precision Score
4342
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 16 2025 11:22 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1306
242.8 IPS |
|
|
Image Classification (HP)
|
100% |
2386
443.7 IPS |
|
|
Image Classification (Q)
|
96% |
1653
308.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1271
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1867
30.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2312
37.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5648
6.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
11856
13.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
10435
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
1348
106.9 IPS |
|
|
Object Detection (HP)
|
97% |
2528
201.3 IPS |
|
|
Object Detection (Q)
|
94% |
1798
143.3 IPS |
|
|
Face Detection (SP)
|
100% |
2621
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
5138
61.0 IPS |
|
|
Face Detection (Q)
|
100% |
2900
34.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4940
38.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9924
76.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6663
52.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15852
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25727
33.1 IPS |
|
|
Style Transfer (Q)
|
96% |
20808
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3524
130.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4617
170.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3407
125.8 IPS |
|
|
Text Classification (SP)
|
100% |
2383
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
3975
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3934
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3438
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6043
104.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6171
106.6 IPS |
